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SHPBL: Repository Audit & Repair

Read a library document

library_document
Read-onlyIdempotent

Read one long SHPBL document, paged for a context window: volume (the complete text of a volume of The Strategic Master Library), catalog_outline (the Collective catalog's parts, component classes, agent-kit steps and verification axes), report_template (the branded audit report HTML to fill in), or standing_order (the prompt that governs a run). Requires a Practitioner key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoYour SHPBL subscription key (shpbl_mcp_…). Optional if your client sends it as the `Authorization: Bearer …` request header.
partNo1-based page of the document, up to 60.
volumeNoRequired for `document: volume` — the volume slug or its number, 1 through 7.
sectionNoFor `document: catalog_outline` — only parts or sections whose name contains this text.
documentYesWhich document to read.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint. The description adds useful behavior beyond that: the tool pages long documents for a context window and requires a Practitioner key. There is no contradiction with the annotations.

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?

Two sentences with no filler. The main purpose is front-loaded, and the parenthetical enumerations are compact and informative.

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?

Together with full schema coverage and read-only/idempotent annotations, the description covers document variants, paging, and auth. It does not spell out the exact return page structure, but 'paged for a context window' plus the `part` parameter is sufficient for an agent to invoke it correctly.

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, but the description adds meaningful semantics for the document enum: volume, catalog_outline, report_template, and standing_order are each explained. It also explains the key requirement, which the schema presents as optional under certain conditions.

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?

States a specific action ('Read') on a concrete resource ('one long SHPBL document') and enumerates the four document types with brief definitions. This makes it easy to distinguish from sibling tools like library_index and library_search.

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 clearly indicates when to use the tool: when a full named document is needed, paged for a context window. It also notes the Practitioner key requirement. It does not explicitly contrast with library_index or library_search, so it stops short of full alternative guidance.

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.

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