get_impact_history
Return the current v7.2 observed history (daily winners and trend) for a GitHub handle.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| handle | Yes |
Return the current v7.2 observed history (daily winners and trend) for a GitHub handle.
| Name | Required | Description | Default |
|---|---|---|---|
| handle | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the description does not need to restate safety. It adds some useful context (v7.2, daily winners, trend), but it does not disclose output shape, error behavior, or any limitations. This is moderate transparency given the annotation coverage.
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 clear sentence that front-loads the action and resource. Every word contributes meaning, and there is no redundant or vague 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 one-parameter read-only retrieval tool, the description covers the core context: what is returned and for whom. It does not fully describe the return structure since there is no output schema, but 'daily winners and trend' gives enough conceptual completeness for basic agent selection and invocation.
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%, so the description carries the burden for parameter meaning. It does clarify that the single string parameter is a GitHub handle, which adds domain meaning beyond the raw schema. However, it gives no format, normalization, or validation details, so the compensation is only partial.
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 begins with a specific verb ('Return') and names a precise resource: 'current v7.2 observed history (daily winners and trend)' for a GitHub handle. It clearly distinguishes this tool from siblings like get_impact_profile by focusing on historical data rather than a profile snapshot.
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 implies when to use the tool—when you need a GitHub handle's daily winners and trend history—but it gives no explicit exclusions or comparisons to sibling tools. There is no guidance on when another tool, such as get_impact_profile or compare_profiles, would be more appropriate.
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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