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Introspect Schema

agentbase_introspect
Read-only

Return the full AgentBase GraphQL schema for reference. No authentication required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A4.3/5.0
Behavior3/5

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

The readOnlyHint annotation already declares this as a read-only operation. The description adds 'No authentication required,' which is useful permission-related context, but provides no other behavioral details such as response size or format.

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 concise sentence that front-loads the action and includes a key usage note about authentication. No words wasted.

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 simple schema-introspection tool with no parameters and no output schema, the description fully explains the action and a key access prerequisite. It is self-contained given the tool's simplicity.

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

Parameters4/5

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

The tool has zero parameters, and the input schema is empty, so there are no parameter semantics to document. Baseline for 0 params is 4.

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 the tool returns the full AgentBase GraphQL schema, using a specific verb ('Return') and resource ('full AgentBase GraphQL schema'). The purpose is unambiguous and inherently distinct from the sibling tool 'agentbase_setup'.

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

Usage Guidelines4/5

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

The description provides clear context by stating the tool is for 'reference' and notes that no authentication is required, which tells the agent when and how it can be called safely. While it doesn't explicitly compare with sibling tools or state when not to use it, the usage context is clear.

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

A4.1/5.0
Disambiguation5/5

Each tool has a distinct purpose: schema introspection, semantic search, and account registration. There is no overlap or ambiguity between them.

Naming Consistency5/5

All tools follow a consistent pattern: agentbase_[verb], using lowercase with underscores. The verbs clearly indicate their function.

Tool Count3/5

With only 3 tools, the server is minimal. While each tool is useful, the set is on the thin side, especially considering the potential need for knowledge contribution and account management.

Completeness2/5

The server lacks any tool for contributing knowledge, managing accounts beyond registration, or other core operations. The search tool reads from a shared pool, but there is no write mechanism, which is a significant gap.