get_capability_request_quote
Read the human-paid commission quote for a capability request.
Never an execution.quoteId.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| request_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read the human-paid commission quote for a capability request.
Never an execution.quoteId.
| Name | Required | Description | Default |
|---|---|---|---|
| request_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits itself. It states it is a read operation ('Read') and clarifies it never returns an execution quoteId, which is useful. However, it does not mention permissions, side effects, error conditions, or any other behavioral nuances. The output schema likely covers return structure, but behavior beyond that is sparse.
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 exceptionally concise, using two short sentences. It front-loads the primary purpose and adds a critical clarification. Every word earns its place, with no filler.
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 simple read tool with one parameter and an output schema, the description is mostly adequate. It clearly states the core function and a key exclusion. However, it lacks guidance on when to use this tool versus siblings, and it does not explain the request_id parameter or any prerequisites. These gaps prevent it from being fully complete for an agent deciding to call it.
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 0%, so the description must explain the parameter. It does not elaborate on 'request_id' beyond what the schema already provides (the title 'Request Id'). The description adds no semantic detail about what a request_id refers to, its format, or how it relates to the quote.
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 (Read) and the specific resource (human-paid commission quote for a capability request). It also distinguishes from execution quotes with 'Never an execution.quoteId.', which helps disambiguate from potential siblings that deal with execution quotes.
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 a caution about not using this for execution quotes, but does not explicitly state when to use this tool versus siblings like request_capability_quote or quote_capability. There is no mention of alternatives or conditions that would lead an agent to choose this tool over others.
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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