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Glama

meeting

One meeting with its body, video and archived documents (each with a permanent /file URL).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meeting_idYes

Schema Changelog

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

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

There are no annotations, so the description carries the burden of explaining behavior. It does disclose useful output details, including the permanent /file URLs for archived documents, but it does not explicitly state that the operation is read-only, how errors are handled, or any authentication requirements. For a simple fetch tool this is acceptable but not complete.

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?

The description is a single compact sentence with no filler. It front-loads the core resource and includes specific, useful details about what the response contains. Every word earns its place.

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 one-parameter retrieval tool, the description is mostly adequate and names the expected response contents. However, with no output schema and no annotations, it leaves unstated how meeting_id is obtained, whether this is a read-only operation, and how this tool relates to search_meetings. An agent could call it correctly with inference, but the description alone is not fully complete.

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

Parameters2/5

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

Schema description coverage is 0%, and the description never mentions meeting_id, its format, or how to obtain valid values. The schema property title 'Meeting Id' is self-explanatory, so an agent can infer the parameter selects the meeting, but the description adds no additional meaning or context for the parameter.

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 ('one meeting') and its key contents (body, video, archived documents with permanent /file URLs), making it clear this is a detail-retrieval tool. It is not tautological, but it lacks an explicit verb such as 'get' or 'fetch,' so the operation is implied rather than stated.

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 presence of a required meeting_id and the phrase 'one meeting' imply this is for looking up a specific meeting, possibly after a search. However, the description does not explicitly say when to use this tool instead of search_meetings or other siblings, and no alternatives or exclusions are mentioned.

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

B3.4/5.0
Disambiguation4/5

Most tools target clearly distinct resources or actions: reservoirs vs reservoir, superfund_summary vs superfund_site, and the various search tools are separated by domain. A few pairs could be confused at a glance—officer_lookup vs search_officers and meeting vs search_meetings—but their descriptions remove practical ambiguity.

Naming Consistency3/5

The naming is readable but mixes conventions: some tools use verb_search (search_meetings, search_officers), some use noun_noun (reservoir, superfund_site, trading_post_ledger), and others use a mix like officer_lookup and register_verify. There are consistent subgroups, but no overarching verb_noun pattern.

Tool Count4/5

At 19 tools, the server is on the heavier side, but the breadth of the platform—meetings, reservoirs, superfund sites, officers, legacy conversion, evidence packs, and trading post—justifies most of them. Each tool names a meaningful capability, and none feels redundant enough to cut outright.

Completeness4/5

The set covers the main read/query lifecycle for its data domains: listing, searching, fetching details, and summarizing. The largest gap is that paid conversions and evidence-pack results hand off to external HTTP endpoints or email rather than being fully queryable inside the MCP, but that appears intentional.

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