analyze_history

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

Description discloses that it identifies near-duplicates and large log-pattern outputs, and returns truncation suggestions. However, it lacks explicit mention of side effects or read-only nature. No annotations are present, so the description carries the full burden but only partly fulfills it.

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?

Two concise sentences that front-load the main purpose. Each sentence adds value with no unnecessary words.

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?

Description covers purpose, analysis details, and return values. Output schema exists to supplement return structure. Minor gaps (e.g., error conditions) but acceptable for a read-only analysis tool.

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?

Input schema covers both parameters with clear descriptions (messages array and optional maxTurns). Tool description does not add further meaning beyond the schema, but schema coverage is 100%, so baseline score of 3 is appropriate.

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?

Description clearly states the tool's function: analyzing conversation messages for repetitive/ignored content. It specifies the resource (conversation messages array) and the action. It distinguishes itself from sibling tools that handle stats or settings.

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?

No explicit guidance on when to use this tool versus alternatives. The description implies use for context management but does not provide exclusions or compare to siblings.

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