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io.github.lsmman/fetchive

io.github.lsmman/fetchive

Official
by lsmman
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Prepare a page payload

format_for_notion
Read-onlyIdempotent

Convert any link into a Notion page payload: extracts properties, applies workspace tags, and provides classification guidance while capping quotes and excluding full transcripts.

Instructions

Shape one link into a page payload: properties, the workspace's existing tag vocabulary, and instructions for classifying against it. Quotes are capped and transcripts are never included verbatim.

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": {
      "url": "<url>"
    },
    "name": "format_for_notion"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYes
tagsNo
titleNo
quotesNo
summaryNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already mark it read-only, idempotent, and non-destructive; the description adds behavioral constraints (quotes are capped, transcripts never verbatim) and mentions context about workspace tag vocabulary. No contradiction 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.

Conciseness4/5

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

The description is a single front-loaded sentence that conveys purpose and key caveats without fluff. Slightly vague 'properties' keeps it from a perfect score.

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?

Given the output schema exists and annotations cover safety, the description covers essential non-obvious behavior (tag vocabulary, quote cap, no verbatim transcripts). It lacks explicit alternatives to sibling tools and could be clearer about expected inputs, but overall it's adequate.

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

Parameters2/5

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

Schema coverage is 0% and the description does not systematically explain the five parameters; only 'quotes' and indirectly 'tags' are addressed through the caveats. The self-explanatory parameter names help, but the description doesn't fully compensate for the lack of schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Shape') and resource ('one link into a page payload'), and clarifies it includes properties, tag vocabulary, and classification instructions. This distinguishes it from ingestion/extraction siblings, though it doesn't explicitly name alternatives.

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?

The description implies this is for preparing a single link for Notion, particularly with workspace-specific tags and quote/transcript constraints. It provides context but no explicit 'use when' guidance or exclusions against siblings like ingest_links or summarise_pending.

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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