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joaovaleri

linkedin-mcp

by joaovaleri

linkedin_add_test_score

Add test scores (e.g., TOEFL, GRE) to your LinkedIn profile. Provide the test name, score, and date taken.

Instructions

Add a test score to the LinkedIn profile (e.g. TOEFL, GRE)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate taken (MM/YYYY)
nameYesTest name (e.g. 'TOEFL', 'GRE')
scoreYesScore achieved
descriptionNo
Behavior2/5

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

With no annotations provided, the description carries full burden. It discloses mutation ('Add') but omits behavioral details such as overwrite behavior, authentication requirements, or error handling. Minimal added context beyond the basic action.

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?

Single sentence, no filler, front-loaded with verb and noun. Every word adds value.

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

Completeness2/5

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

Despite many sibling tools and no output schema, the description is very sparse. It does not cover return value, error scenarios, or profile prerequisites. More context would be helpful for a mutation tool.

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 75%, so parameters are mostly documented. The description adds examples but no extra semantics beyond what the schema provides. Baseline of 3 is appropriate.

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 the verb 'Add' and the specific resource 'test score to the LinkedIn profile', with concrete examples (TOEFL, GRE). This distinguishes it from other add tools in the sibling list.

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?

No explicit guidance on when to use this tool versus alternatives. The description does not mention prerequisites, when not to use it, or how it differs from other add tools like add_experience or add_certification.

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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