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

No annotations are provided, so the description carries the full burden. 'Fetch' signals a read operation, and the description adds conditional content ('if decided'), but it does not disclose error behavior, authentication needs, or potential side effects, which is a moderate gap.

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?

A single, front-loaded sentence with no filler; every clause adds meaning and the key object of the action is clear immediately.

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 get-by-id tool with no output schema, the description covers the main return content (suggestion, debate thread, verdict) and clarifies an important conditional. It omits error handling details, but those are less critical for a straightforward fetch.

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%, leaving the description to compensate. 'Fetch one improvement suggestion' implies that 'id' identifies the suggestion, but the description never explicitly defines the parameter or its format beyond what the schema already states (integer > 0).

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?

States a specific verb ('Fetch'), resource ('one improvement suggestion'), and distinctive contents ('full debate thread', 'ferryman's verdict'). Clearly distinguishes from siblings like list_suggestions (returns a list) and discuss_suggestion (mutates) without needing to open their schemas.

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 description makes clear the tool retrieves a single suggestion with its full debate context, so an agent can infer when to use it (need detailed view of one item). It does not explicitly name alternatives or state when not to use it, so it falls just short of a 5.

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