MCP Analytics

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

With no annotations provided, the description carries the full disclosure burden. It successfully explains the indirect mechanism (returns a token and curl command rather than performing the upload itself) and mentions security ('secure upload token'), but omits side effects, whether a dataset record is created immediately or post-upload, or token constraints beyond expiration.

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 efficient sentences with zero redundancy. First sentence establishes purpose; second sentence discloses return format. Every word earns its place—'secure' implies authentication requirements, 'curl command' reveals the CLI-oriented workflow.

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 single-parameter tool with no output schema, the description adequately covers the return value ('UUID + curl command') and the core action. It appropriately delegates parameter details to the schema. Minor gap: could clarify the relationship between token generation and actual dataset creation in the workflow.

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 coverage is 100% (the single parameter has a complete description), establishing a baseline of 3. The description adds context that the token is for 'CSV files,' which helps frame the expiration parameter's purpose, but does not elaborate on the seconds format, valid ranges, or consequences of short/long expiration times beyond the schema's default value.

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?

Clear verb ('Generate') and resource ('secure upload token') with specific scope ('for CSV files'). The mention of returning a 'UUID + curl command' implicitly distinguishes it from sibling tools like datasets_update or datasets_read which operate on existing datasets directly rather than via upload tokens.

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 explicit guidance on when to use this versus siblings like datasets_update (for modifying existing datasets) or datasets_read. Does not clarify prerequisites (e.g., whether a dataset must be created first) or when the token-based approach is preferred over direct ingestion.

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