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nmassi

glyphs-mcp

by nmassi

review_production

Review production readiness of an open font with 44 checks across critical, warning, and info severities. Returns a markdown report with pass/fail status and failure details.

Instructions

Run a comprehensive production readiness review on the open font.

Checks 44 items across critical/warning/info severities:

Critical (must fix): family name, .notdef, space glyph, duplicate unicodes/names, master compatibility, vertical metrics, open paths, valid glyph names, missing components, alignment zones.

Warning (should fix): metadata, version, essential glyphs, .notdef outlines, zone overshoots, Use Typo Metrics, typo/hhea match, win metrics coverage, kerning groups, cross-master kerning, critical kern pairs, OT features, weight classes, style linking, nbspace width, zero-width letters, PANOSE, stems defined, short segments, near-miss alignments, presentation forms decomposition (fi/fl/ff), German sharp S, Dutch IJ localization, smallcap completeness, salt feature, languagesystems prefix, Remove Overlap.

Info: glyph count by category, font metrics, fsType, VF readiness, unreachable glyphs.

Returns a formatted markdown report with pass/fail status and details for failures.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. While it explicitly describes the output ('Returns a formatted markdown report with pass/fail status and details for failures'), it does not explicitly state that the tool is read-only and does not modify the font. Given that many siblings are mutating (e.g., set_glyph_width, create_glyph), clarifying this would be valuable. The name and 'review' wording imply non-destructiveness, but it is not explicitly disclosed.

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 long but well-organized, with a clear hierarchy: purpose sentence, severity categories with bullet items, and return format. Every sentence contributes useful information—the listing of all 44 checks is detailed but serves to set expectations. It is not wasteful, though it could be condensed by grouping checks, but the structure makes it easy to digest.

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?

For a tool with no parameters and an existing output schema, the description is exceptionally complete. It specifies the exact scope (44 checks across three severities), lists the items, and states the output format. There is no missing information an agent would need to decide whether to invoke it or to interpret its results. The output schema likely covers the exact return structure, so the description's mention of a markdown report suffices.

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 tool has zero parameters and the schema is empty. With no parameters, the description does not need to document any, and the baseline is 4. The description adds no parameter-related information because there is none to add, which is appropriate and sufficient.

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 a specific verb ('Run') and a concrete resource ('comprehensive production readiness review on the open font'). It enumerates 44 checks across severity levels, which unambiguously distinguishes it from sibling tools that each address a single concern (e.g., check_font_name, check_overshoots). No other tool aggregates such a broad scope.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus the more granular sibling tools. It implies this is a full review by calling it 'comprehensive', but it never says 'use this when you need to run all checks at once, or use check_font_name for a single check'. The agent is left to infer usage context from the word 'comprehensive' and the list of checks.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.