Skip to main content
Glama

batch_batch_map

Apply a function to each item in an array, with error handling to skip or raise. Returns results, counts of success and errors, total items, and elapsed time.

Instructions

[batch] Apply fn to each item. on_error: null/skip/raise. Returns {results, ok, errors, total, elapsed_ms}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
fnYes
on_errorNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Without annotations, the description discloses key behaviors: on_error options (null/skip/raise) and the return structure {results, ok, errors, total, elapsed_ms}. It provides clear behavioral context beyond the schema.

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?

The description is extremely concise: one clear sentence plus a brief listing. Every part earns its place, no fluff. It front-loads the purpose.

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 tool complexity and presence of an output schema, the description covers the core action, error handling, and return fields. It is adequate but could add context about batch system or side effects.

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?

With 0% schema description coverage, the description adds meaning by explaining fn is applied to each item and listing on_error options. However, it does not further clarify the items parameter or the fn format.

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 it applies a function to each item in a batch, using a specific verb-resource pair 'Apply fn to each item'. It distinguishes from sibling tools like batch_filter, batch_reduce, etc., as a mapping operation.

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 usage for applying a function to each item but does not explicitly state when to use or avoid this tool, nor does it compare with alternatives. No guidance on when to choose this over other batch tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/0-co/agent-friend'

If you have feedback or need assistance with the MCP directory API, please join our Discord server