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Glama

chamber_get

Chamber — one entry with notes and cross-links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes

Schema Changelog

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

  1. Added

TDQS

C2.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It does add useful output behavior: exactly one entry is returned and it includes notes and cross-links. However, it says nothing about errors, required lookup semantics, or potential side effects, though a getter is a relatively low-risk operation.

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 short phrase with no filler; every substantive word adds information about the returned entry. 'Chamber' echoes the tool name, but the structure is otherwise efficient and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter getter, the description is almost workable: it identifies the resource, the singular result, and the included content. However, there is no output schema, no parameter explanation, and no guidance on when to use this instead of chamber_search, so key invocation details are left to inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has a single required 'id' string with no description, and schema description coverage is 0%. The tool description never mentions 'id' or explains how the chamber is identified, so it adds no parameter meaning whatsoever.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (Chamber) and indicates this is the singular getter returning one entry with notes and cross-links. It is clear enough to identify the tool's purpose, but it lacks an explicit verb and does not directly distinguish itself from chamber_search, so it is not a 5.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no mention of alternatives, and no condition for choosing chamber_get over chamber_search or the other getter tools. The phrase 'one entry' only weakly implies a by-ID lookup.

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

C2.4/5.0
Disambiguation4/5

Most tools are cleanly separated by entity prefix and action (_get vs _search), so AWARE/Box/etc are not easily confused. The main ambiguity is among spl_lab_auth, spl_agent_key, and spl_signup, which all relate to account/key creation and could cause misselection.

Naming Consistency3/5

The 24 entity tools follow a consistent <entity>_get/<entity>_search pattern, which is predictable and readable. However, the five spl_* tools mix noun-style names like spl_catalog with verb-style names like spl_discover and spl_signup, creating a noticeable second convention.

Tool Count2/5

At 29 tools, the server exceeds the comfortable 3-15 range and even the heavier 16-25 range. The 12 get/search pairs are systematic, but combined with the five spl_* tools the overall surface feels bloated and harder to scan.

Completeness4/5

For a retrieval-oriented knowledge server, every entity has both point lookup and free-text search, plus lab signup, agent key minting, and discovery/catalog resources. Minor gaps like no key revocation or list-all operations are not critical for the stated purpose.

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