TimeChimp MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states it's an update operation, implying mutation, but doesn't cover permissions needed, whether changes are reversible, rate limits, or what happens to entries not in the list. For a mutation tool affecting up to 100 entries, this is a significant gap in safety and operational context.

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 a single, efficient sentence with zero waste. It's front-loaded with the core action and resource, and the parenthetical adds necessary context without redundancy. Every word earns its place, making it easy to parse quickly.

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 the tool's complexity (mutation affecting multiple entries), lack of annotations, and no output schema, the description is incomplete. It doesn't address behavioral risks, response format, or error handling. For a tool that modifies up to 100 mileage entries, more context on idempotency, partial updates, or side effects is needed for safe agent use.

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 100%, so the schema fully documents parameters. The description adds no additional meaning beyond implying 'status' relates to approval/invoicing, which is already clear from the schema's enum values. Baseline 3 is appropriate as the schema does the heavy lifting, but the description doesn't compensate with extra insights like format examples or edge cases.

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 ('Update') and resource ('status of mileage entries'), with specific context about what status means ('internal approval/invoicing status'). It distinguishes from siblings like 'update_mileage' (which likely updates mileage data rather than status) and 'update_mileage_client_status' (which appears to handle client-facing status). However, it doesn't explicitly name these distinctions.

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 is provided on when to use this tool versus alternatives like 'update_mileage_client_status' or 'update_expense_status'. The description implies it's for internal approval/invoicing workflows but doesn't specify prerequisites, exclusions, or typical scenarios. Usage is left to inference from the tool name and context.

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