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Mithrandir

mithrandir_read

Read an exact character slice, or a JSON Pointer. Bounds prevent silent oversized results. Source hashes are integrity checks, not proof of truth.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
startNo
lengthNo
pointerNo
artifact_idYes
output_budget_bytesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations are all false, so the description carries the burden. It does disclose two behavioral traits: bounds prevent silent oversized results, and source hashes are integrity checks, not proof of truth. However, it omits any side-effect warnings, auth requirements, or response format details, which are critical given no annotation support.

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 brief and efficient, with the primary action front-loaded. Both sentences serve a purpose, but the second sentence on hashes is somewhat tangential and could be placed later. Overall it is concise without waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 5 parameters, no output schema, and no annotation hints, the description is inadequate. It fails to explain how start/length and pointer interact, what happens if both are provided, the meaning of output_budget_bytes, or what the return value looks like. An agent would need to inspect schema constraints alone and still lack crucial usage context.

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 description coverage is 0%, so the description must explain parameters. It implies start/length map to character slice and pointer maps to JSON Pointer, but it never explicitly maps them, and it does not explain output_budget_bytes or artifact_id semantics. The description adds minimal value beyond the schema constraints.

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 clearly states the action ('Read') and the two resource types (character slice, JSON Pointer), making it distinguishable from generic tools. However, it does not explicitly name any sibling to differentiate from, such as mithrandir_search or mithrandir_inspect, so it relies on the agent to infer differences.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. There is no mention of scenarios, prerequisites, or exclusions. The agent is left to guess whether this is the right choice for a given request.

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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