verify_badge
Look up the public verification record for a Chapa badge hash.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| hash | Yes |
Look up the public verification record for a Chapa badge hash.
| Name | Required | Description | Default |
|---|---|---|---|
| hash | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds the 'public' nature of the verification record, which is useful context, but it does not disclose error behavior, rate limits, or what happens for an invalid hash.
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 a single, front-loaded sentence with no filler. Every word contributes to stating the action and target, making it easy for an agent to parse quickly.
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 one-parameter read-only lookup, the description is mostly adequate: it names the input and the kind of record returned. However, with no output schema, it does not clarify the shape or content of the verification record, and it offers no context about when this lookup is appropriate compared to sibling tools.
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%, and the description must compensate. It does add meaning by identifying 'hash' as a Chapa badge hash, linking the parameter to the domain entity; however, it leaves details like where the hash comes from or how to interpret the pattern to the schema.
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 a specific action ('Look up') on a specific resource ('public verification record for a Chapa badge hash'). It is distinct enough from the sibling list at a glance, though it does not explicitly contrast itself with similar tools like explain_verification.
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?
There is no guidance about when to use this tool versus alternatives such as explain_verification or find_profile. The description only states what the tool does, leaving the agent to infer the appropriate context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools target distinct resources or actions: profile data, history, comparison, badge verification, and explanations are clearly separated. The only mild ambiguity is between find_profile and get_impact_profile, since both resolve a GitHub handle to profile-related information.
All nine tools use a consistent verb_noun snake_case pattern (compare_, explain_, find_, get_, verify_). The verbs are specific to their action, making the toolset predictable.
Nine tools is a well-scoped size for a public profile and badge verification service. Each tool covers a distinct user need without redundant or excessive surface area.
The toolset covers the main lifecycle for public Chapa profiles: finding, retrieving, comparing, explaining, verifying, and embedding badges. For a read-only public-info service, there are no obvious dead ends or missing core operations.