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SHPBL: Repository Audit & Repair

Start here — welcome, tool menu and example commands

welcome
Read-onlyIdempotent

Call this first, once, when a person connects. Returns the welcome, the full tool menu with one line per tool, the exact sentences a person can say to start a run, the support address, and the link to the user's manual. Free, unmetered, no key. Read it to the person in your own words — warmly and briefly — then ask what they would like to point it at.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoThe person's first name, if you know it, so the greeting can use it.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already mark it read-only and idempotent; the description adds valuable behavioral context beyond that: it is free, unmetered, requires no key, and should be read aloud warmly and briefly. This fully discloses what the agent can expect when invoking it.

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?

Three sentences with no fluff. The first sentence delivers the critical call-first instruction, the second enumerates return contents, and the third gives the interaction directive. Every sentence earns its place.

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?

With no output schema, the description compensates by explicitly listing what the tool returns: welcome, full tool menu, exact example sentences, support address, and manual link. It also covers access characteristics (free, unmetered, no key) and the expected post-call behavior, making it fully actionable.

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?

The single optional parameter `name` is fully described in the input schema ('The person's first name, if you know it, so the greeting can use it'). The tool description itself adds no parameter-specific semantics, but the schema coverage is 100%, so a baseline 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 uses a specific verb ('Call this first') and names the exact resource: a welcome message with the full tool menu, example start sentences, support address, and manual link. This clearly separates it from the sibling tools, which are all subsequent action-oriented tools.

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?

It explicitly states when to call the tool ('first, once, when a person connects') and what to do after (ask what they would like to point it at). This gives an unambiguous trigger and flow, even without naming alternatives.

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

A3.7/5.0
Disambiguation3/5

Most tools have distinct roles, but the capability-discovery cluster is genuinely confusable: compose_capability calls itself 'the harvest lane' while harvest_repo is 'the harvest,' and evaluate_repo with a key also identifies candidates and composes — an agent must read long descriptions carefully to pick correctly. The free/key mode-switching also makes each tool's effective behavior conditional, raising misselection risk.

Naming Consistency4/5

The dominant pattern is verb_noun (build_intent, evaluate_repo, fix_repo, harvest_repo, list_repos, pin_source, run_contract, run_gauntlet, write_to_repo), and the library_document/library_index/library_search trio follows a deliberate resource-prefix convention. A few outliers break the pattern — welcome (bare verb), selfcheck_mcp, and subscription_status — but they are a small minority and still readable.

Tool Count4/5

At 17 tools the set is slightly past the ideal 3-15 range, but the domain genuinely spans an audit pipeline, a capability library, run orchestration, repo write-back, and billing/onboarding meta-tools. Roughly a third are lightweight informational endpoints (welcome, method_protocol, run_contract, library_index, subscription_status, selfcheck_mcp), which adds surface area, but each has a distinct job and none is redundant.

Completeness4/5

The lifecycle is well covered: pin_source → evaluate_repo → fix_repo → harvest_repo → compose_capability → write_to_repo, with run_gauntlet orchestrating the whole path and run_contract/method_protocol providing gates and discipline. Minor gaps exist — write_to_repo is create-only with no PR update/merge/close, and past run state is only resumable via ledger_digest — but there are no dead ends.

Resources