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Glama

Unfollow Person

unfollow_person
Destructive

Stop following a LinkedIn member by providing their username to remove their updates from your feed.

Instructions

Unfollow a LinkedIn member.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
linkedin_usernameYesLinkedIn username (e.g. "alice").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.26.2

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare destructiveHint=true and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that: it does not say the action is reversible (re-followable), whether it requires an authenticated session, or what happens if the person is not currently followed.

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?

A single short sentence with no waste, front-loading the verb and resource. It is efficient, though its brevity borders on under-specification rather than true economy.

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

Completeness3/5

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

The tool is simple (one required param) and an output schema exists, so return values need not be explained. However, with no usage guidance and no disclosure of reversibility or authentication needs, the definition is only minimally complete.

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% and the single linkedin_username parameter is fully documented in the schema with an example. The description adds no parameter meaning at all, so the baseline 3 applies.

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 names a specific verb ('Unfollow') and resource ('a LinkedIn member'), which is clear and, via the word 'member', implicitly distinguishes it from the sibling unfollow_company. It stops short of explicitly routing against follow_person or unfollow_company, so it does not fully earn a 5.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as follow_person or unfollow_company. The agent is left to infer usage entirely from the tool name.

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