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Forked sessions intentionally diverge and require reconciliation before shared output is updated. This is not a substitute for “Carry a durable, concise constraint summary into the continued context”; that control is necessary in the stated circumstances. Lossy history compression is unsafe when critical requirements are not retained explicitly.

Safe resumption must distinguish a not-yet-executed operation from a completed operation with a lost acknowledgement. Here, compaction removed an important original system constraint. Carry a durable, concise constraint summary into the continued context. Lossy history compression is unsafe when critical requirements are not retained explicitly.

Explicit state allows safe continuation without relying on a model to recreate lost conversational history. The direct remedy is “Carry a durable, concise constraint summary into the continued context”, which the alternative does not itself accomplish. Lossy history compression is unsafe when critical requirements are not retained explicitly.

Safe resumption must distinguish a not-yet-executed operation from a completed operation with a lost acknowledgement. The required action is “Report the branch's provenance and differences instead of silently replacing shared conclusions”; the other measure addresses a separate concern. Forked sessions intentionally diverge and require reconciliation before shared output is updated.

Explicit state allows safe continuation without relying on a model to recreate lost conversational history. Here, a forked research branch discovers contradictory evidence. Report the branch's provenance and differences instead of silently replacing shared conclusions. Forked sessions intentionally diverge and require reconciliation before shared output is updated.

A session fork enables controlled comparison without contamination between competing experiments. Here, a forked research branch discovers contradictory evidence. Report the branch's provenance and differences instead of silently replacing shared conclusions. Forked sessions intentionally diverge and require reconciliation before shared output is updated.

Explicit state allows safe continuation without relying on a model to recreate lost conversational history. The required action is “Restore the pending call identity and reconcile whether the tool actually ran”; the other measure addresses a separate concern. Safe resumption must distinguish a not-yet-executed operation from a completed operation with a lost acknowledgement.

A session fork enables controlled comparison without contamination between competing experiments. This is not a substitute for “Restore the pending call identity and reconcile whether the tool actually ran”; that control is necessary in the stated circumstances. Safe resumption must distinguish a not-yet-executed operation from a completed operation with a lost acknowledgement.

Resume must be aware of durable external state or it can duplicate irreversible work. Here, a previously halted agent has an outstanding tool_use request with no result. Restore the pending call identity and reconcile whether the tool actually ran. Safe resumption must distinguish a not-yet-executed operation from a completed operation with a lost acknowledgement.

Identical descriptions increase selection ambiguity. A model cannot reliably choose between tools whose contracts disclose no distinguishing operation. Reusing the same generic description for every tool makes ambiguous names harder to distinguish. Include the tool's purpose and input semantics so the model can choose between them.

Sensitive changes need explicit documented semantics and authorization. A name alone cannot explain whether a tool modifies billing records, sends messages or exposes private data. Explicit side-effect and authorization documentation is necessary for safe tool choice, especially between similar operations.

An identical generic description would leave the two tools indistinguishable, so the agent could still choose the wrong data source for a customer request. Discovery metadata needs contrasting intended uses and a named source for each capability; merely adding length to vague prose does not resolve routing ambiguity.

Structured result contracts prevent consumers from guessing what a value represents. That addresses a different part of the system, not the requirement to eliminate tool-routing ambiguity across similar actions.

Schema versioning and compatibility mappings protect existing clients when tool fields change. Here the tools have stable schemas but indistinguishable discovery descriptions. Explain which source each search action queries and when to use it so the model can choose the correct data source.

A side-effectful interface needs clear semantics and approval expectations. Although useful elsewhere, it is not the direct mechanism to make tool argument requirements explicit and enforceable.

Stable tool contracts matter as much as implementation. This alternative does not establish how to make tool argument requirements explicit and enforceable in the stated workflow.

Specifying ISO date formatting prevents malformed date inputs, but the failing payment requests lack an invoice identifier because the schema calls it optional. Require and validate invoice_id explicitly; clearer date examples would not make an absent billing reference appear.

Descriptions help tool selection but cannot override application policy. That addresses a different part of the system, not the requirement to constrain tool arguments to supported enumerated values.

Currency and minor-unit semantics matter for monetary amounts, not for a priority field whose only legal values are three service tiers. Define an enum and enforce those values at execution, so a free-form priority label cannot trigger an unsupported operation.

Opaque identifiers and delegated credentials help prevent a lookup tool from asking for customer passwords. They do not constrain a priority field that currently accepts arbitrary strings. The tool schema should specify a priority enum and validate the supplied value before dispatch.

Tool descriptions are part of the model's decision interface. It would leave the stated need to make read versus write side effects explicit in interfaces unresolved.

A well-designed tool should request only the data needed for its action. This capability does not directly make read versus write side effects explicit in interfaces.

Structured result contracts prevent consumers from guessing what a value represents. The decisive requirement here is to make read versus write side effects explicit in interfaces.

A precise schema rejects incomplete calls before side effects. Although useful elsewhere, it is not the direct mechanism to communicate exact accepted date syntax to the calling agent.

Clear cardinality prevents accidental parsing of list strings as one identifier. This alternative does not establish how to communicate exact accepted date syntax to the calling agent in the stated workflow.

A side-effectful interface needs clear semantics and approval expectations. The scenario instead requires a way to communicate exact accepted date syntax to the calling agent.

A well-designed tool should request only the data needed for its action. That addresses a different part of the system, not the requirement to describe tool intent from the agent's perspective.

Treating tool metadata as untrusted prevents a hostile description from overriding authorization rules. This lookup is merely described as 'utility helper,' so the selection problem is missing capability guidance, not an active prompt-injection instruction. Document the lookup's intended business questions and output.

A side-effectful interface needs clear semantics and approval expectations. The required action is “Explain the business questions the lookup answers and what information it returns”; the other measure addresses a separate concern. Tell the model when to call the specialist lookup and what entities it can resolve, including relevant required arguments.

Tool descriptions should help the model recognize when a tool is useful. The decisive requirement here is to surface consequential side effects before tool invocation.

Models select argument values using schema and descriptions. This alternative does not establish how to surface consequential side effects before tool invocation in the stated workflow.

Rejecting malicious tool-metadata instructions protects policy boundaries, but this subscription tool's description is incomplete rather than adversarial. State clearly that invoking it creates a paid charge and requires authorization. Untrusted-data treatment alone cannot tell an operator about hidden financial side effects.