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

With no annotations, the description carries the full burden and it partially delivers: it discloses that an LLM (Claude) is invoked, that the result is persisted onto the agent, and that regeneration overwrites/replaces the existing profile. It does not disclose credit/cost implications (notable given siblings like get_balance and get_credit_usage_by_agent), latency, or any failure/auth behavior for what is clearly a mutating, compute-heavy operation.

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?

Two short sentences with no filler; the action is front-loaded and the persistence side-effect follows immediately. Nothing is wasted or repeated.

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?

There is no output schema and no annotations, and for a single-parameter mutation tool the description covers the essential action and side-effect. However, it omits cost/credit and prerequisite context that an agent would need to decide whether calling Claude here is appropriate, leaving the definition only minimally complete.

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% and the description references only 'the agent's knowledge' without ever explaining agent_id — its format, where it comes from, or how to obtain it. With one undocumented parameter, the description fails to compensate for the schema gap, though the parameter name is largely self-explanatory.

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 gives a specific verb and resource ('Run Claude ... to (re)generate its signal profile'), which clearly separates it from the read-only sibling sdr_get_agent_signal_profile. It does not name that sibling or explicitly contrast the two, so an agent still has to infer the routing, but the purpose itself is unambiguous.

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?

'(re)generate' and 'so later Signal Searches reuse it' imply the usage context (profile is a prerequisite for Signal Search and can be refreshed), but there is no explicit when-to-use statement, no mention of when to call the getter instead, and no stated preconditions (e.g. whether the agent needs knowledge data present first).

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