match_receipt

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it mentions the creation of a pre-signed URL and automatic matching, it doesn't describe what happens after upload, whether there are rate limits, authentication requirements, error conditions, or what the matching process entails. The description is insufficient for a mutation tool with zero annotation coverage.

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, well-structured sentence that efficiently communicates the core functionality without unnecessary words. It's front-loaded with the main action and outcome, 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?

For a tool that creates pre-signed URLs (implying file upload and backend processing) with no annotations and no output schema, the description is incomplete. It doesn't explain what the pre-signed URL is used for, what format the response takes, or what happens after matching. The agent lacks crucial information about this tool's behavior and outputs.

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 100%, so all parameters are documented in the input schema. The description doesn't add any parameter-specific information beyond what's already in the schema properties. This meets the baseline expectation when schema documentation is complete.

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 specific action ('Create a pre-signed URL for uploading a receipt') and the outcome ('that will be automatically matched with existing expenses'). It distinguishes from sibling tools like 'upload_receipt' by specifying the pre-signed URL creation and automatic matching functionality.

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 provides no guidance on when to use this tool versus alternatives like 'upload_receipt' or other expense-related tools. It doesn't mention prerequisites, constraints, or typical use cases, leaving the agent with no contextual decision-making information.

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