Call an LCU endpoint with any verb

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

With no annotations given, the description carries the full burden of disclosing behavior. It specifies that GET/HEAD are permitted unconditionally, other verbs must match a write allowlist, and refusals return the exact config line needed to allow the request. This is a valuable behavioral disclosure that goes beyond the schema. It does not cover response format or error handling, but the core restrictions and refusal behavior are clearly stated, making it above average.

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 two sentences long and immediately front-loads the core action ('Send any HTTP verb to an LCU path') before explaining the allowlist nuance. There is zero wasted wording, and every clause contributes to the agent's understanding. This is a model of conciseness.

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?

Given that the tool has three parameters, no output schema, and no annotations, the description adequately explains the allowlist constraint and refusal behavior. However, it does not mention expected response format, error handling, or the fact that paths are relative to the LCU API. These gaps could lead to incorrect invocations or misinterpretation of results, so while it is serviceable, it is not fully complete for a generic HTTP request tool.

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 description coverage is only 33% (only 'body' has a description). The tool description adds very little parameter-specific meaning—it mentions 'any HTTP verb' but does not elaborate on acceptable path formats, the meaning of the parameters, or provide examples. Since the description does not compensate for the low schema coverage and fails to clarify the method/path semantics beyond the enum and pattern, it scores a 2.

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 clearly states the tool's function: sending any HTTP verb to an LCU path. This distinguishes it from siblings like lol_get, which presumably only handles GET requests, and lol_status, which likely queries status. The verb 'send' plus the resource 'LCU path' makes the purpose 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?

The description gives clear usage context: GET and HEAD are always allowed, while other verbs require explicit allowlist entries, and it explains the refusal behavior. However, it does not explicitly mention when to use this tool versus a more specific sibling like lol_get, nor does it provide exclusions or alternatives. The allowlist rule essentially defines the usage boundary, earning a 4.

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