Order a proof for a skill
order_proofHow a skill author gets their own skill proven and listed ($49, automatic). Returns the order link.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| skill_github_url | No |
order_proofHow a skill author gets their own skill proven and listed ($49, automatic). Returns the order link.
| Name | Required | Description | Default |
|---|---|---|---|
| skill_github_url | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden and does disclose two useful traits: the $49 cost and that processing is automatic, plus what it returns (the order link). It omits whether this is a paid mutation, what auth or account is required, and what happens after the order is placed.
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 short, front-loaded sentences with no filler; the core action and the return value are both stated in under twenty words.
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 one-parameter tool with no output schema, the description covers the return value ('the order link') and the cost, which is adequate. It falls short on the input parameter and on the account/auth context an agent would need before invoking an ordering action.
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 0% and the single parameter skill_github_url has no description in the schema. The description only alludes to 'their own skill' and never explains that a GitHub URL must be supplied or in what form, so it does not compensate for the coverage gap.
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 states a specific verb+resource (order a proof) and scopes it to a skill author proving their own skill, which is enough to distinguish it from read-only siblings like get_proof and list_proven. It is framed as a 'how you get proven' explanation rather than a direct action statement, but the intent is unmistakable.
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?
Usage is implied by 'a skill author gets their own skill proven', so the audience and situation are inferable. However, it never states when to use this over get_proof or search_skills, nor any prerequisite such as having the skill already published on GitHub.
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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