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Run a GraphQL query (read-only)

parabol_query
Read-only

Escape hatch: run an arbitrary Parabol GraphQL QUERY (read-only) against action.parabol.co/graphql with optional variables. Mutations are REJECTED — use the dedicated write tools or parabol_graphql for those. Useful for fields not covered by the curated read tools. Requires the matching read scope(s) on your token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesA GraphQL query document (must be a query, not a mutation).
variablesNoVariables object for the query.

Schema Changelog

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

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds meaningful behavioral context beyond that: mutations are actively rejected, the query is sent to action.parabol.co/graphql, and valid read scopes are required on the token. This goes beyond the structured annotations without contradicting them.

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 appropriately sized and front-loaded with the escape-hatch framing. Every sentence contributes a distinct piece of information, though the first sentence somewhat repeats the title's read-only claim, which is already present in the annotation title.

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?

For a flexible escape-hatch tool with two parameters and no output schema, the description covers the essentials: endpoint, parameter shape, rejection of mutations, alternative routing, and auth requirements. A brief note on standard GraphQL response formatting would be a minor addition but is not necessary for correct invocation.

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 description coverage is 100%, so the baseline is 3. The description reinforces that variables are optional and that the query must be a query rather than a mutation, but it does not add significant syntax or format details beyond what the schema already documents.

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 names a specific verb ('run'), a resource ('arbitrary Parabol GraphQL query'), a target endpoint, and explicitly labels itself an 'escape hatch' for fields not covered by curated read tools. It also distinguishes itself from sibling tools by stating mutations are rejected and routed to dedicated write tools or parabol_graphql.

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?

It explicitly states when to use this tool ('Useful for fields not covered by the curated read tools') and when not to use it ('Mutations are REJECTED — use the dedicated write tools or parabol_graphql for those'). It also notes the token requirement for matching read scopes, providing clear selection 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

A4/5.0
Disambiguation5/5

Every tool targets a distinct resource and action: get_/list_ tools are clearly separate read paths, create_/update_/start_/add_ tools map to distinct mutations, and the two escape hatches are explicitly labeled. Even near neighbors like list_meetings and list_active_meetings are unambiguous.

Naming Consistency4/5

Most tools follow a consistent pattern: list_/get_ for reads, create_/update_/start_ for mutations, with plural nouns for collections and singular for single resources. Minor deviations like add_comment, invite_to_team, and the parabol_* escape hatches prevent a perfect score.

Tool Count3/5

With 21 tools, the server sits in the 16-25 range that feels heavy for an MCP surface. The breadth is somewhat justified because Parabol spans organizations, teams, meetings, tasks, and comments, but many tools are list/get variants of the same core entities.

Completeness3/5

Core read and write flows exist for teams, organizations, meetings, tasks, and comments, but there are notable lifecycle gaps such as no delete_task, no reflection update/delete, and no meeting end/update mutations. The parabol_graphql and parabol_query escape hatches help work around these gaps but do not make the curated surface fully complete.