teslamate_suspend_logging

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

Minimal behavioral disclosure: only that logging is suspended via a PUT request. No mention of effects on existing logs, persistence, reversibility, or any response. With no annotations, this is insufficient for a mutation tool.

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?

Single sentence with no extra words, efficiently stating the action and endpoint. However, it sacrifices necessary detail for brevity.

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 tool with 3 parameters, no output schema, and no annotations, the description is severely incomplete. It lacks parameter semantics, behavioral context, return value info, and usage conditions, making it inadequate for reliable agent 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 description fails to explain any of the 3 parameters (carId, userId, authorizationKey). Schema description coverage is 0%, so the description must compensate, but it only vaguely references 'car id'. This omission leaves the agent unable to understand parameter purposes.

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 action (suspend logging) and the resource (TeslaMate car id), with the HTTP method and endpoint. It directly differentiates from the sibling tool 'teslamate_resume_logging' by specifying suspension.

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?

No guidance on when to suspend logging versus resume, or any prerequisites or side effects. The sibling tool exists but no comparison or context for decision-making.

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