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AperionAI

aperion-shield

Official

Read Multiple Files

read_multiple_files
Read-only

Read multiple files simultaneously to analyze or compare contents. Returns each file's content with its path. Individual failures don't stop the operation. Works only within allowed directories.

Instructions

Read the contents of multiple files simultaneously. This is more efficient than reading files one by one when you need to analyze or compare multiple files. Each file's content is returned with its path as a reference. Failed reads for individual files won't stop the entire operation. Only works within allowed directories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathsYesArray of file paths to read. Each path must be a string pointing to a valid file within allowed directories.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes

Schema Changelog

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

  1. Addedv1.0.4
  2. Removedv1.0.3
  3. First observedv1.0.1

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, it discloses that failed reads for individual files won't stop the operation, each file's content is returned with its path as reference, and it only works within allowed directories. These are non-obvious behaviors that materially affect invocation and error handling.

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?

Four compact sentences, each carrying distinct information: purpose, efficiency context, output format, and failure behavior. The core purpose is front-loaded and there is no redundant or filler content.

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?

Given a single parameter, an output schema, and read-only annotations, the description covers the essential aspects: purpose, when to use it, output format, partial-failure semantics, and access restrictions. Nothing critical is missing for correct invocation.

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 the schema fully documents the paths parameter. The description adds no additional parameter-level meaning beyond restating the allowed-directories constraint already present in the schema.

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 states a specific verb and resource: reading the contents of multiple files simultaneously. It also distinguishes itself from single-file siblings by emphasizing the batch behavior, making its purpose unmistakable.

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 explicitly says to use it when analyzing or comparing multiple files and notes it is more efficient than reading one by one. However, it does not name specific alternatives or state when not to use it, so it stops short of full routing 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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