impact_of

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. States it finds transitive callers but omits details like whether results are exhaustive, if read-only, or auth requirements. Inadequate for a mutation-like analysis tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise (8 words) and front-loaded with key purpose. However, brevity sacrifices necessary detail for parameter understanding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema, the description lacks details on how the tool works, meaning of 'transitive', and parameter semantics. Incomplete for a tool with two parameters and complex behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%. Description only mentions 'name' but not its nature (e.g., function name, identifier). 'max_depth' is completely unexplained, leaving agents to guess its purpose.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool predicts transitive callers to assess breakage risk, using a specific verb 'predict' and resource 'callers'. It distinguishes from siblings like 'find_callers' (likely direct callers) by emphasizing transitivity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implies usage for impact analysis but no explicit 'when to use' or 'when not to use' compared to alternatives. Lacks context like needing to run before changes.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.