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

With no annotations, the description carries the burden. The 'GET' endpoint and 'headline counts' wording imply a read-only summary operation, and listing the specific metrics gives some behavioral context. However, it does not explicitly state read-only semantics, auth requirements, or what happens with an invalid session_id.

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 what the tool does and the endpoint, then adds usage and source guidance. Every sentence earns its place with no filler.

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 single-parameter read-only dashboard tool with no output schema, the description sufficiently covers purpose, key returned metrics, the source of the session_id, and a concrete use case. Nothing essential is missing for correct invocation.

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 input schema already documents session_id with 100% coverage and note 'from list_sessions (filter by state)'. The description repeats 'Get session_id from list_sessions', adding no new semantic meaning beyond the schema, so a 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?

The description states a specific verb and resource: 'Headline counts for one legislative session' with the endpoint, and enumerates the metrics (bills filed, passed, signed, vetoed, roll calls, active legislators). It does not explicitly name or contrast sibling tools like get_session_breakdown, so it falls just short of full differentiation.

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?

It gives an explicit starting point: 'Start here for how the 2026 Florida session is going', which tells the agent when to select this tool. It also tells the agent where to obtain the session_id ('Get session_id from list_sessions'), but it does not mention when to use a more detailed sibling tool instead.

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