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laughnan

arcade-matter-mcp

by laughnan

GetItemContent

Matter_GetItemContent
Read-onlyIdempotent

Fetch an item's full text as Markdown in chunks, using offset to continue, so agents can read long Matter items within API fetch limits.

Instructions

Get an item's full text as Markdown, in chunks of up to max_chars. Matter allows only 20 full-text fetches per minute, so use excerpts from ListItems or GetItem when they're enough.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
offsetNoCharacter offset to start from. Pass a previous response's next_offset to continue reading.
item_idYesThe item ID (e.g. 'itm_r9f3a'). Use ListItems or SearchLibrary to find it.
max_charsNoMaximum characters of text to return (1000-100000).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, but the description adds behavioral context they cannot: a hard rate limit of 20 full-text fetches per minute and chunked Markdown output. It does not describe pagination termination beyond the schema's next_offset hint, so it stops just short of fully rich disclosure.

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?

Two tight sentences, front-loaded with what the tool returns and immediately followed by the constraint that governs its use. No filler.

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?

An output schema exists, so return values need no explanation. The description covers format, chunking, the rate limit, and routing to cheaper siblings, leaving nothing an agent needs to call it correctly.

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 item_id, offset, and max_chars are already documented in the schema. The description reinforces chunking and max_chars but adds no syntax or constraint detail beyond what the schema provides; baseline 3 applies when the schema does the heavy lifting.

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?

States a specific verb+resource+format: 'Get an item's full text as Markdown, in chunks of up to max_chars.' It also distinguishes itself from siblings by naming ListItems and GetItem as the lighter excerpt alternatives, so an agent can tell it apart without opening the schema.

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

Usage Guidelines5/5

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

Explicitly names the alternative tools (ListItems, GetItem) and the condition that selects them ('use excerpts ... when they're enough'), plus the rate-limit constraint that motivates restraint. Both when-to-use and when-not-to-use are covered.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.