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list_accounts

Read-onlyIdempotent

Return LinkedIn accounts accessible with the provided API key. If the key is restricted, only allowed account IDs are returned. Use first in every session to get the account_id the other tools need; ask which account when several are listed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoConnected LinkedIn accounts visible to this key.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavioral context: restricted API keys yield only permitted account IDs, and the returned account_id is a prerequisite for other tools. It does not describe the return shape, but the output schema exists to cover that.

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?

Three sentences, each doing distinct work: what it returns, the credential caveat, and the session-ordering instruction. Front-loaded with the outcome and free of 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?

For a zero-parameter discovery tool with an output schema and full annotation coverage, the description supplies everything an agent needs: purpose, ordering in a session, and how to behave when multiple accounts appear. No meaningful gap remains.

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

Parameters4/5

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

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly notes that the API key is implicit credential context rather than an input field.

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 and resource ('Return LinkedIn accounts accessible with the provided API key') and scopes it by credential, which cleanly separates it from siblings like get_me or list_connections. An agent can tell what this returns 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?

Gives explicit sequencing ('Use first in every session to get the account_id the other tools need') and a branching instruction for the multi-account case ('ask which account when several are listed'). This is when-to-use guidance plus an ambiguity-resolution rule, which is more than most definitions provide.

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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