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Export blacklist

blacklist_export

Generate a CSV of every exclusion rule on an account. A file for the user. To read the rules in the conversation use blacklist_list.

Input Schema

NameRequiredDescriptionDefault
linkedAccountIdYesLinkedIn account id, from `linkedin_account_list`.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already disclose readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=false. The description adds that the output is a CSV delivered as a file rather than inline data, which is genuinely useful context. However, it says nothing about where the file lands, whether repeated calls duplicate artifacts, or how the file is surfaced to the agent, so the added behavioral surface is thin.

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?

Three short sentences with no filler, and the core action is front-loaded ahead of the sibling routing hint. The fragment "A file for the user" is clipped and could be folded into the first sentence, but nothing is wasteful.

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?

With one documented parameter, no output schema, and annotations covering the safety profile, the description covers the essential decision (export to file vs. list in chat) and states the output medium. The only gap is what the caller actually receives back (file reference, link, or notification), which it doesn't specify.

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?

There is a single required parameter with 100% schema description coverage, and that description already points to `linkedin_account_list` for the id. The description adds no further meaning about the parameter (e.g., whether the export is scoped strictly to one linked account), so baseline 3 applies.

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 uses a specific verb and resource ("Generate a CSV of every exclusion rule on an account") and explicitly distinguishes itself from the sibling `blacklist_list` for in-conversation reading. An agent can separate this export tool from the list/add/delete blacklist siblings without opening any schema.

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?

It names the alternative explicitly and gives the condition that selects it ("To read the rules in the conversation use `blacklist_list`"). It doesn't cover exclusions such as prerequisites, account-scope caveats, or when an export is inappropriate (e.g., large accounts), so it stops short of a full when/when-not map.

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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