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kalpesh122

agentic-mcp-server

by kalpesh122

Read a document

kb.get
Read-onlyIdempotent

Retrieve the full markdown content of a knowledge-base document using its slug.

Instructions

Return the full markdown body of one knowledge-base document by slug (as returned by kb.search).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesDocument slug, e.g. "getting-started"

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior3/5

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

The annotations already declare readOnlyHint and idempotentHint as true, covering side-effect safety. The description adds the return format ('full markdown body') and that it returns a single document, but these are minor additions beyond the annotations.

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, focused sentence with no superfluous words. It is well-structured, front-loading the core action and then the parameter detail, making it easy to parse quickly.

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 read-only tool with one parameter and no output schema, the description provides all necessary context: what it returns (full markdown body), how to identify the document (by slug), and where the slug comes from (kb.search). No critical information is missing.

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 schema provides a clear description for the slug parameter (including an example). The tool description reinforces this and adds the important context that the slug comes from kb.search, which helps the agent understand how to populate the parameter correctly.

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's action ('Return'), the resource ('knowledge-base document'), and the means ('by slug'). It also references kb.search for obtaining the slug, making the purpose unambiguous and distinct from the sibling tools.

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 implicitly guides usage by stating the slug is 'as returned by kb.search', which tells the agent to use kb.search first. However, it does not explicitly contrast with kb.add or state when not to use this tool, so it falls short of fully explicit 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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