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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds value beyond that by enumerating what the caller receives — business summary, request handling, deliverable, scope, and example request fields — which matters because there is no output schema.

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?

It is a single sentence with a deeply nested parenthetical that is harder to parse than necessary, though the core product summary is front-loaded. The long comma-separated topic list ('what happens to a request, what you receive, its scope, and the request fields') could be tightened without losing meaning.

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 zero-argument read-only overview tool with no output schema, the definition covers enough: it says what the business does, what an agent learns from the response, and what the request fields look like. Only minor gaps remain, such as whether the response is static documentation versus live data.

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 tool takes zero parameters, so the baseline is 4. The mention of 'request fields with examples' refers to returned content rather than inputs and does not conflict with the empty schema.

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 this is an informational tool covering what Linklamp does, the request lifecycle, the deliverable, scope and request fields with examples. The nested parenthetical example (Dearborn switch swap/repatch, drafted scope, emailed proposal with duties, exclusions, price, proposed time) makes the domain concrete and clearly distinguishes it from the transactional siblings like submit_request or inspect_offer.

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?

Usage is implied rather than stated: an agent can infer it should call this to learn about the business and the shape of a request before submitting one. There is no explicit 'when to use this vs X' routing, no statement that it takes no arguments and is safe to call first, and no exclusions.

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