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

Annotations already declare read-only, non-destructive, open-world behavior, and the description adds useful context beyond that: it says the tool compares against the IERhub mirror and returns an unchanged-since date plus logged change rows. It does not cover error behavior or detailed response structure, so it is not a 5.

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 a single front-loaded sentence that states purpose and expected return content without filler. The colon cleanly separates the action from what is returned.

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?

For a simple one-parameter, read-only check with no output schema, the description gives enough to understand the tool's role and the high-level return values. It does not explain the 'id' parameter or the shape of the logged change rows, leaving a small completeness gap.

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 schema has one required 'id' parameter with 0% description coverage, and the description only says 'one form' without clarifying whether the id is a form id, its format, or how it is obtained. The description therefore does not compensate for the schema's lack of parameter documentation.

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 states a specific action ('Say whether TDLR changed one form') and the comparison basis ('since the IERhub mirror was made'), so the purpose is clear. It does not explicitly differentiate itself from siblings like get_form or list_forms, which keeps it below a 5.

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?

The phrase 'since the IERhub mirror was made' implies the scenario for using this tool, but there is no explicit when-to-use guidance or comparison to alternatives such as get_form. An agent can infer usage, but routing between siblings is left unstated.

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