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delimit_github_scan

Use pulse, hunter, or deep cadences to scan GitHub for adoption leads, competitive intel, and repo health. Findings are automatically logged and pain threads notified.

Instructions

Scan GitHub for adoption leads, competitive intel, repo health (Pro).

When to use: at the configured cadence — pulse (own repo health), hunter (engagement signals, hourly), deep (full ecosystem, daily). When NOT to use: to monitor one issue (use delimit_sensor_github_issue) or pull issues (delimit_tracker_sync).

Sibling contrast: delimit_sensor_github_issue is single-issue; delimit_tracker_sync ingests issues to ledger; this is the broad GitHub corpus scanner.

Side effects: read-only network. With chain rule below, the orchestrator should call delimit_ledger_add for high-score findings and delimit_notify for pain threads.

IMPORTANT -- TOOL CHAINING RULE: After scanning, the AI MUST process high-score findings:

  1. Auto-ledger high-score findings via delimit_ledger_add

  2. Pain threads with existing_feature relevance via delimit_notify Never just return findings and stop. Always chain to the next action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cadenceNo"pulse" (default), "hunter", or "deep".pulse
limitNoMax results per search query. Default 20. Max 30.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

No annotations are provided, so the description carries full burden. It discloses 'Side effects: read-only network' and details a required tool chaining rule after scanning, which gives clear behavioral expectations for the AI agent.

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

Conciseness4/5

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

The description is well-structured with clear sections (purpose, usage, siblings, side effects, tool chain). It is somewhat verbose but every sentence adds value, and the most important information is front-loaded.

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

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (multi-cadence scanning, post-processing requirements) and presence of an output schema, the description covers all necessary context: purpose, when/not to use, sibling differentiation, side effects, and mandatory chaining instructions.

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

Parameters3/5

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

Schema coverage is 100% with clear descriptions for both parameters (cadence and limit). The description does not add substantial new meaning beyond the schema, but it does mention cadence values briefly. Baseline of 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool's purpose: 'Scan GitHub for adoption leads, competitive intel, repo health'. It uses a specific verb (scan) and resource (GitHub), and differentiates from siblings by naming delimit_sensor_github_issue and delimit_tracker_sync.

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

Usage Guidelines5/5

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

Provides explicit when-to-use guidance (at configured cadence: pulse, hunter, deep) and when-NOT-to-use (monitor one issue or pull issues), with references to alternative tools. The sibling contrast section further clarifies usage boundaries.

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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