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Glama

RevoGrid DataGrid MCP Pro

List RevoGrid Capabilities

list_revogrid_capabilities
Read-onlyIdempotent

Start here to discover supported public capabilities and package ownership. Returns compact paginated summaries linked to detailed resources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tierNoCore, Pro, or Enterprise package tier.
limitNoMaximum compact capability summaries per page.
cursorNoOpaque cursor returned by the previous page.
productNoRestrict capability ownership to one product.
versionNoExact indexed package version.
frameworkNoConsumer framework the capability must support.
stabilityNoStable, experimental, or deprecated capability status.
packageNameNoExact published npm package name.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes
nextCursorNo

Schema Changelog

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

  1. Added

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds modest context about returning compact paginated summaries linked to detailed resources, but it does not disclose much beyond that; no contradiction with annotations exists.

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 two short sentences with no wasted content. The key entry-point signal 'Start here' is front-loaded, and every phrase adds value.

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?

The tool has a fully documented input schema, an output schema, rich annotations, and no required parameters. The description provides sufficient entry-point framing and output expectations without needing to repeat structured information already present.

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 all eight parameters already have descriptions in the schema. The tool description adds no parameter-specific semantics, so the baseline of 3 is appropriate.

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 uses a specific verb ('discover') and names a concrete resource ('supported public capabilities and package ownership'). It also states the output shape ('compact paginated summaries linked to detailed resources'), making it clearly distinguishable from siblings like search_revogrid_docs or inspect_revogrid_api.

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?

'Start here' gives an explicit entry-point instruction, which is useful for an agent deciding where to begin. However, it does not name alternative sibling tools or state when those alternatives should be preferred, so exclusion guidance is absent.

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

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, especially the action-oriented workflow tools like plan and validate. The main ambiguity is among the discovery/query tools—list_revogrid_capabilities, resolve_feature_matrix, search_revogrid_docs, and inspect_revogrid_api—though their descriptions provide enough guidance to avoid frequent misselection.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern, such as find_examples, inspect_revogrid_api, and validate_revogrid_usage. The verbs clearly indicate the action, and the naming style is uniform across the entire set.

Tool Count5/5

Eight tools is well-scoped for a RevoGrid implementation-assistance server. Each tool serves a meaningful step in the discovery-to-validation workflow without excessive redundancy or a feeling of missing core functionality.

Completeness5/5

The toolset covers the full knowledge-workflow lifecycle: discover capabilities, resolve feature existence, search docs, inspect exact APIs, find examples, get migration notes, plan implementation, and validate usage. This is a comprehensive surface for the stated purpose, with no obvious dead ends.