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SHPBL: Repository Audit & Repair

List the repositories I can work on (free)

list_repos
Read-onlyIdempotent

Lists real repository names so a run never starts on a guessed one, and answers whether a repository can be written to. Pass github_token to see everything that token can see, or owner to list a public account's repositories; with neither, it lists the repositories the SHPBL GitHub App is installed on for this key — the same ones a pull request can be opened on. Pass repo: "owner/name" to ask about one target instead of reading the whole list. Free — costs no allowance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoYour SHPBL key (shpbl_mcp_…), only needed to list App-connected repositories. Optional if sent as the Authorization header.
pageNoWhich page of the connected-repository list to return, 1-based. Use this rather than a higher `limit` past 100; the response names the next page when there is one.
repoNoAsk about one target, `owner/repo`: whether this key may open a pull request on it. Call this before offering to write.
limitNoHow many repositories to return (default 30, max 100).
ownerNoA GitHub user or organisation to list the public repositories of, when no token is available.
github_tokenNoA GitHub token (PAT or fine-grained) to list with. Never stored, never logged — used for this call only.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already carry readOnlyHint=true, openWorldHint=true, and idempotentHint=true, so the safety bar is low. The description adds genuine context beyond that: the App-installed scope tied to the key, the write-eligibility answer, and the cost note ('Free — costs no allowance'). It is fully consistent with the annotations — no contradiction.

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 core purpose is front-loaded in the first sentence, and every subsequent clause earns its place — invocation modes, single-target navigation, and the free/allowance note. It is a dense single paragraph rather than tight bullets, but nothing is wasted relative to the information density needed for a 6-parameter tool.

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 read-only discovery tool whose safety profile is fully covered by annotations and whose parameters are all documented, the description is nearly complete: coverage of all three listing modes, the single-target path, and cost. The main absence is the response shape (no output schema exists), but for a 'list names + next-page' tool this is a minor gap, especially given the sibling ecosystem positions it as a pre-flight read.

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?

Schema coverage is 100%, so the baseline is 3. The description adds meaning beyond the schema by explaining the behavioral difference between github_token mode ('everything that token can see'), owner mode, and no-argument mode (App-installed repos), and positions repo as a targeted check. This enriches the six documented parameters without repeating their schema text.

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 states a specific verb-resource pair ('Lists real repository names') plus a second capability (answers write-permission questions), and grounds it in a concrete problem: 'so a run never starts on a guessed one.' It clearly distinguishes from the write-side sibling (write_to_repo) by framing itself as the read/discovery half. An agent cannot mistake what this does.

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

Usage Guidelines4/5

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

The description explicitly maps three invocation modes to their conditions: with github_token, with owner, and with neither (App-installed repos, 'the same ones a pull request can be opened on'). It also tells when to use repo for a single-target check. It doesn't explicitly contrast with siblings by name or say what not to use it for, which keeps it just short of a 5.

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

A3.8/5.0
Disambiguation4/5

Most tools target distinct stages or resource types: evaluate/fix/harvest are clearly separate audit phases, and write_to_repo/list_repos are unambiguous. The library_* trio is mostly separable but library_document and library_index both offer access to volumes, and run_gauntlet partially overlaps the individual stage tools, so a couple of boundaries are less crisp.

Naming Consistency4/5

Names are uniformly lowercase snake_case and mostly follow a verb_noun pattern: evaluate_repo, fix_repo, harvest_repo, write_to_repo, list_repos, run_gauntlet. A few are noun_noun or resource-prefixed like library_search, library_document, subscription_status, and welcome/selfcheck_mcp are one-offs, so it is predictable but not perfectly uniform.

Tool Count5/5

At 14 tools the server sits within the ideal 3-15 range, and each tool has a plausible role in the audit/repair, library, or operational workflow. The count is on the larger side but justified by separate free and Practitioner lanes, library services, and health/status checks.

Completeness4/5

The core audit lifecycle is well covered: list/scope, evaluate, fix, harvest, write back, plus library search and run orchestration. The main gap is that build_intent explicitly gates COMPOSE/SPECIALIZE/CREATE operations, but no actual compose/specialize/create tools are exposed, and there is no explicit run_gauntlet cancellation or reset, though agents can work around both.

Resources