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findagent_repull

Publish a NEW version of YOUR OWN published CODE-BUNDLE or SKILLS-BUNDLE agent by RE-PULLING your OAuth-connected GitHub repo. FindAgent re-fetches your repo (at an optional branch/tag/commit ref, default = the latest commit on your stored branch), re-snapshots + re-scans it (a code bundle also re-builds), diffs it against your live version, and — if it CHANGED — submits a new version for admin review with an auto-drafted changelog. Your LIVE version keeps serving until the new one is approved (never auto-unpublished). If the source is unchanged it is a no-op. Pass the agent slug (you must own it) + optional ref. Owner-only; the repo is pinned to your agent's own prior import (arbitrary-repo ingest is not available here). For code-bundle / skills-bundle only — doers/recipes re-version via findagent_bump_version, external mcp-server listings via findagent_reintrospect_mcp.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoOptional branch, tag, or commit SHA to pull. Defaults to the latest commit on your stored branch.
slugYesYour published code-bundle or skills-bundle agent slug (you must own it).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo
slugNo
statusNo
changedNo
versionNo
changelogNo
scan_statusNo
instructionsNo

TDQS

A4.9/5.0
Behavior5/5

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

Beyond the annotations, which already indicate a non-read-only, non-destructive operation, the description discloses key behavioral details: re-fetching, re-snapshotting, re-scanning, rebuilding for code bundles, diffing, auto-drafting a changelog, submitting for admin review, keeping the live version serving until approval, and being a no-op if the source is unchanged. This gives the agent a thorough understanding of side effects and outcomes.

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?

Although the description is long, it is dense and front-loaded with the core action and purpose. Every clause adds necessary behavioral, scoping, or safety information. There is no filler, and the structure leads from what it does, to the conditional submission behavior, to owner constraints, to sibling alternatives.

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?

The description covers the full lifecycle: trigger, optional ref default, rebuild/scan behavior, diffing, submission for review, live-version continuity, no-op behavior, ownership requirements, source pinning, and explicit exclusions of other agent types. With an output schema also present, nothing an agent needs to decide whether and how to call this tool is missing.

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 already documents both parameters with 100% coverage. The description adds useful behavioral reinforcement, such as the slug must be owned and the ref can be a branch, tag, or commit SHA with a default of the latest commit on the stored branch. It also clarifies that the repo is pinned to the agent's prior import, which adds meaningful context beyond the schema alone.

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 names a specific verb ('Publish a NEW version') and resource ('YOUR OWN published CODE-BUNDLE or SKILLS-BUNDLE agent') and explains the exact mechanism (re-pulling the OAuth-connected GitHub repo). It also distinguishes itself from sibling tools like findagent_bump_version and findagent_reintrospect_mcp, so an agent can clearly tell them apart.

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?

The description explicitly states when this tool applies ('For code-bundle / skills-bundle only') and names the alternatives: 'doers/recipes re-version via findagent_bump_version, external mcp-server listings via findagent_reintrospect_mcp.' It also gives important preconditions such as owner-only, OAuth-connected repo, and pinned repo source, leaving no ambiguity about when to use it.

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

A4.1/5.0
Disambiguation5/5

Every tool targets a clearly scoped resource+action combination, and the versioning variants (bump_version vs repull vs reintrospect_mcp) are explicitly disambiguated by agent kind. Even with 52 tools, the descriptions make each purpose distinct enough to avoid misselection.

Naming Consistency4/5

Nearly all tools follow the findagent_<verb>_<object> snake_case pattern, and families share predictable verbs like list, create, delete, edit, and submit. Minor exceptions such as findagent_preflight, findagent_whoami, and findagent_earnings keep it from perfect consistency.

Tool Count2/5

At 52 tools, this far exceeds the 25-tool threshold for a coherent MCP surface. The count may reflect a broad platform, but as a single toolset it is heavy and likely to strain agent selection and context.

Completeness3/5

The surface covers publishing, versioning, knowledge bases, org management, GitHub import, purchases, and the demand board in impressive depth. However, there are notable dead ends: no unpublish/delete for a live agent, no request-fulfillment/linking action, and no org deletion or KB document update.

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