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get_impact_history

Read-only

Return public impact snapshots and trend for a GitHub handle.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
handleYes

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false, establishing a safe read operation. The description adds 'public' scope and 'trend', but does not disclose details like time range, output size, or pagination. No contradiction with annotations.

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

Conciseness5/5

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

The description is a single, front-loaded sentence with no filler or redundant wording. Every word earns its place, and it communicates the action, resource, and target efficiently.

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

Completeness4/5

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 retrieval tool, the description covers the essential context: what it returns, the target entity, and public scope. The lack of an output schema means some detail about the snapshot shape is missing, but the description is still sufficiently complete for selection and invocation.

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

Parameters4/5

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

The schema provides only a bare 'handle' string with no description (0% coverage), so the description must compensate. It does so by clarifying that the expected value is a 'GitHub handle', which is meaningful and sufficient for a single required parameter.

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

Purpose4/5

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

The description uses a specific verb ('Return') and states the resource ('public impact snapshots and trend') and target ('GitHub handle'). It differentiates somewhat from the sibling get_impact_profile through the 'history/trend' wording, but does not explicitly contrast the two tools.

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

Usage Guidelines3/5

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

Usage is implied by the word 'history' and 'trend': the tool is for historical impact data rather than a current profile. However, the description provides no explicit when-to-use or when-not-to-use guidance, nor does it name alternatives like get_impact_profile.

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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TDQS

A3.7/5.0
Disambiguation4/5

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.

Naming Consistency5/5

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.

Tool Count5/5

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.

Completeness5/5

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.