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simple-gpt

Generate Content

post

Generate Content Billing per call: Credits: metered (~0 avg).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoJSON request body. Example: {"messages":[{"role":"user","content":"There are ten birds in a tree. A hunter shoots one. How many are left in the tree?"}]}

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It does mention per-call metered billing, which is a useful operational detail, but it says nothing about side effects, return behavior, authentication, rate limits, or failure modes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, but under-specification is not the same as conciseness. 'Generate Content' merely repeats the title, while the billing sentence is the only genuinely informative part. The structure wastes its opening on redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a nested object parameter, no output schema, and no annotations, yet the description does not clarify the expected request structure, response shape, or usage constraints. The schema example helps, but the overall definition leaves too much for the agent to infer.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already provides 100% coverage for the single parameter, including a type, description, and example. The tool description adds no parameter-level meaning beyond the schema, so the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description starts with 'Generate Content', which exactly restates the tool title, so it is essentially a tautology. It adds only billing information, not a clear statement of what the tool does, what it returns, or how it differs from any alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, what inputs are appropriate, what prerequisites exist, or when to avoid it. The only added context is a billing note, which does not help an agent decide when to invoke the tool.

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

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