get_upload

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

With no annotations, the description carries the behavioral disclosure burden. It fully discloses the return payload, including the exact structure of columns and their intended downstream use for create_model, which is valuable behavioral context. It doesn't cover error cases or permissions, but for a simple retrieval tool the return contract is the most important behavior.

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 well-structured and efficient: a one-sentence purpose statement, a compact return field list, and a short Args section. Every sentence adds value, and the most important information is front-loaded.

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 getter with no output schema, the description is largely complete: it lists all returned fields and gives the one required input with provenance. It could be more explicit about read-only behavior or error conditions, but those are minor gaps given the simplicity of the 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 only defines file_id as an integer with no description, so the description fully compensates. It explains that file_id is the upload's id and explicitly tells the agent where to obtain it (upload_data response or list_uploads), which is exactly the semantic meaning needed to call the tool correctly.

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 verb 'Get', the resource 'one uploaded dataset's details', and highlights the column schema. This makes the tool's purpose immediately obvious and sufficiently distinguishes it from list_uploads (listing) and upload_data (creation), even though it doesn't explicitly name get_data_schema as an alternative.

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?

It gives useful context by telling the agent that file_id comes from upload_data's response or list_uploads, and explains how the returned columns can be used to build create_model arguments. However, it does not explicitly state when to choose this tool over siblings like get_data_schema or list_uploads, leaving the comparison to inference.

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