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@asyntai/mcp

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by asyntai
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JavaScript
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Read one knowledge base entry

get_knowledge_entry
Read-onlyIdempotent

Retrieve the stored text of a knowledge base entry by its ID, covering text, documents, spreadsheets, pages, and videos.

Instructions

Read the stored text of one knowledge base entry. Works for the content you supplied: text, documents, spreadsheets, single pages and videos. A website crawl is listed but not exported, because the source is your own public site.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "entry_id": "<entry_id>"
    },
    "name": "get_knowledge_entry"
  }
}

Input Schema

NameRequiredDescriptionDefault
entry_idYesThe entry id from list_knowledge.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.2

TDQS

A3.7/5.0
Behavior3/5

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

The annotations already declare readOnly, idempotent, and non-destructive behavior, so the bar is lower. The description adds a potentially confusing note about website crawls being 'listed but not exported,' which may relate to behavior but is not clear. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence is concise and front-loaded, but the following two sentences are confusing and not well-structured. The phrase 'A website crawl is listed but not exported' is ambiguous and could be omitted or clarified, detracting from the overall clarity.

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 simple read operation with one parameter, the description adequately covers the purpose and mentions supported content types. However, the unclear statement about website crawls leaves some ambiguity about what is retrievable, making it less complete than it could be.

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?

The schema already provides a meaningful description for the single parameter, entry_id, referencing list_knowledge. The tool description does not add further detail about the parameter, so with high schema coverage the baseline 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 clearly states the tool reads the stored text of one knowledge base entry. This distinguishes it from listing or searching the knowledge base, and the verb 'read' is specific.

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 implies use when retrieving a single entry, and the parameter description says the entry_id comes from list_knowledge, providing some guidance. However, it does not explicitly name alternative tools or say when not to use it, though the context is fairly 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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