github_activity_digest
GitHub issue and pull-request digest from supplied public records. Costs $0.15 Base USDC.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
GitHub issue and pull-request digest from supplied public records. Costs $0.15 Base USDC.
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It does add a useful behavioral detail—the $0.15 Base USDC cost—and hints that records are supplied rather than fetched. However, it omits whether the tool makes network calls, whether it is read-only, what failure modes exist, or how the digest is returned.
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 compact two-sentence definition with the core purpose first and the cost second. Both sentences add information and there is no filler, though the content is too sparse to fully address the tool's ambiguous input.
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?
Given an opaque free-form input object, no output schema, no annotations, and no usage context, the description is far from complete. An agent cannot confidently determine what to pass in the 'input' property, what fields the digest will contain, or how the cost is applied.
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?
The single 'input' parameter is an empty object schema with additionalProperties allowed, giving zero structural information, and schema description coverage is 0%. The description only vaguely says 'from supplied public records' and does not explain the expected shape, required fields, formats, or examples, so it fails to compensate for the schema 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 clearly identifies the resource ('GitHub issue and pull-request') and the deliverable ('digest'), so an agent can tell what the tool produces. It is not a tautology and it distinguishes itself from sibling report tools by its focus on GitHub issues/PRs, though it lacks an explicit verb and does not name sibling alternatives.
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 on when to choose this tool over similar siblings like repository_change_radar or changelog_generator. The phrase 'from supplied public records' implies the input is user-provided public data, but it does not explain prerequisites, exclusions, or when not to use the tool.
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 are distinguishable by their input source (HTTPS probe, JSON snapshots, OpenAPI, ABI, CSV, etc.), but several report-style tools overlap in purpose, such as changelog_generator vs. release_dependency_risk and csv_profile vs. data_quality_profile. Descriptions help, but an agent could easily hesitate between similarly named change/health/report tools.
All names are lowercase snake_case and generally follow a <domain>_<artifact> pattern, which is predictable and readable. The suffixes vary considerably -- report, summary, digest, audit, health, profile, generator, validator, risk, radar -- so it is not a strict verb_noun convention, but the style is consistent enough.
25 tools is at the upper edge of the borderline-heavy range. The suite spans web, data, repository, security, and wallet domains, so each tool has a plausible place, but the sheer number makes navigation heavier than a typical cohesive toolset.
The suite provides broad coverage for reporting, validation, and change detection, but there are notable gaps such as generic raw data fetching, a generic diff utility, and obvious transforms beyond CSV-to-JSON. For a broadly scoped utility suite, coverage is partial but not severely incomplete.