Skip to main content
Glama

Tool Routing Guide

tool_guide
Read-only

Deterministic tool-routing lookup -- not an LLM call, always instant, never consumes archive or LLM credit. Give it a goal in plain words (e.g. 'I have a brand colour and want to check it against competitors', 'I want to paint a whole house', 'I have a photo and want the colours from it') and it returns exactly which tool to call first, what to call next, and which superficially-similar tools NOT to start with and why. Use this before guessing between similarly-named tools (e.g. palette_specify vs interior_specify vs house_specify, or colour_passport vs colour_dna).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalYesPlain-English description of what you're trying to do.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
thenNo
reasonNo
start_withNo
do_not_start_withNo

TDQS

A4.4/5.0
Behavior4/5

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

Annotations provide readOnlyHint=true, and the description adds meaningful behavioral context: it's deterministic (not an LLM call), always instant, and never consumes archive or LLM credit. It also discloses the return behavior (returns which tool to call, what next, and what NOT to start with). This adds value well beyond the annotation.

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 a single dense paragraph, front-loaded with the core purpose and value proposition (deterministic, instant, no credit consumed). It packs substantial guidance efficiently, though it is slightly long near the end with the example goal enumeration and tool-name list.

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 single-parameter, deterministic routing tool with readOnlyHint annotation and an output schema, the description fully covers what the agent needs: what it does, when to invoke it (before guessing between similarly-named tools), the expected input format, and the nature of the output. No gaps identified.

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?

Schema coverage is 100% for the single 'goal' parameter, which is described as 'Plain-English description of what you're trying to do.' The tool description elaborates with concrete examples of valid goal phrasings, adding value beyond the bare schema. Baseline 3 is appropriate given high schema coverage.

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 this is a deterministic routing lookup that returns which tool to call first/next and which similar tools NOT to use. The verb+resource is specific ('give it a goal, returns exact routing'), and it explicitly distinguishes itself from sibling tools by naming them (palette_specify vs interior_specify vs house_specify).

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 gives explicit when-to-use guidance ('Use this before guessing between similarly-named tools') and provides concrete example goals ('I have a brand colour and want to check it against competitors'). It names the classifications of tools it disambiguates between, giving clear alternatives-defining context.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.8/5.0
Disambiguation2/5

With 88 tools, there is substantial overlap: colour_passport vs colour_dna vs colour_metrics vs colour_cultural_risk are explicit components of the same object; palette_concept vs palette_strict vs palette_generate vs palette_heritage overlap heavily; and four image extraction tools exist (extract_image_colours, image_palette, palette_extact, ingest_image). Although descriptions are detailed and tool_guide exists, an agent will frequently struggle to select the correct tool unambiguously.

Naming Consistency5/5

Nearly all tools follow a consistent snake_case noun_verb or domain-prefixed pattern (colour_*, palette_*, brand_*, archive_*, project_*, accessibility_*). The naming is uniform and predictable, with no mixing of styles or verb conventions across the set.

Tool Count1/5

88 tools is an extreme count for an MCP server. Even honoring the broad domain, the rubric places 50+ at the extreme end, and the high overlap between compound and individual tools suggests many could be consolidated or exposed as sub-resources rather than top-level tools.

Completeness5/5

The tool surface covers the full colour lifecycle: lookup, analysis, palettes, brand systems, accessibility, image extraction, interior design, archival research, reports, PDF generation, and project management. Workflows have clear entry points and few dead ends, and the presence of compound tools further closes integration gaps.

Resources