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?
The description frames this as the mechanism by which a skill becomes 'proven and listed' with a $49 charge, i.e. a state-changing, monetary transaction, while annotations declare readOnlyHint=true and openWorldHint=false. That is a direct conflict about side effects, and the description never clarifies whether it spends money, mutates state, or merely mints a link.
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 sentences, front-loaded with the outcome and price, and the return value noted last. Efficient, though the phrasing is task-narrative rather than spec-like.
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 paid workflow entry point with no output schema and no annotation reliability, it omits prerequisites (does the repo need to exist? does check_skill come first?), what the returned link does, whether ordering is idempotent, and how to supply the skill URL.
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?
There is one parameter, skill_github_url, with 0% schema description coverage, and the description never mentions it, so nothing tells the agent what URL form is expected or whether it is optional/required. With low coverage the description is obliged to compensate and does not.
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 clear outcome: a skill author gets their skill proven and listed, at a stated price ($49, automatic), and receives an order link. The verb 'order' comes from the title rather than the body, and no sibling (get_proof, list_proven, check_skill) is named for contrast, so it stops short of a 5.
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 implies the audience (a skill author wanting their own skill listed) but gives no explicit when-to-use or when-not, and never routes the agent away from get_proof/list_proven or tells it whether ordering is a prerequisite for those. The agent must infer all sequencing.
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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