get_changelog

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

With no annotations, the description carries full burden but only reveals the existence of a limit parameter. It does not disclose ordering (chronological?), whether changes are grouped, or any authentication requirements, leaving significant behavioral ambiguity.

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?

The description is concise at one line plus an Args section. It is front-loaded with the purpose and uses a structured format. However, it could be slightly more detailed without losing conciseness.

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?

Given an output schema exists, the description need not detail return values, but it omits information about ordering, date range, or frequency of updates. For a changelog tool, it is adequately clear but not comprehensive enough to fully anticipate 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?

The description adds meaning to the 'limit' parameter beyond the schema, specifying it controls 'number of recent entries' and noting a maximum of 50. This compensates for the zero schema coverage, providing practical bounds and context.

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 returns 'recent changes to the AI Dictionary' and specifies 'new terms added and modifications,' which distinguishes it from sibling tools like 'lookup_term' that fetch a single term. The purpose is explicit and resource-specific.

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 guidance on when to use this tool versus alternatives (e.g., 'search_dictionary') is provided. There is no mention of context such as checking for updates before using other tools, missing a chance to help the agent choose correctly.

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