Skip to main content
Glama

linkedin_list_reactions

Read-onlyIdempotent

List all reactions (likes, celebrates, etc.) on a specific LinkedIn post. Not available in this version.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum reactions to return
post_idYesLinkedIn post/activity ID
in_workspaceNoRun this one call in this workspace id instead of the session's. Nothing is stored; other sessions are not affected.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile needs no restatement. The description adds one piece of behavioral context the annotations lack — that the tool is unimplemented — but says nothing about pagination behavior, what reaction data is returned, or failure modes when called.

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?

Two short sentences with no filler; the core capability leads. The single most decisive fact for an agent — that the tool is unavailable — is placed last instead of first, which is a structural inefficiency.

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?

For a read-only list tool with a fully documented three-parameter schema and no output schema, the risk is low. However, the description is incomplete about the unavailability situation: it does not say whether calls error, return empty, or what alternative exists, which is what an agent most needs from a stub 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 coverage is 100%, so limit, post_id and in_workspace are all documented in the schema itself. The description adds no format or constraint detail beyond that (e.g., what a valid post/activity ID looks like), so 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?

States a concrete verb and resource (list reactions on a specific LinkedIn post) and enumerates reaction kinds, which separates it from siblings like linkedin_add_comment. It does not name a sibling or scope boundary, and the trailing 'Not available in this version' muddies whether the tool actually performs the described action.

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?

'Not available in this version' is a genuine usage signal — it tells the agent not to invoke the tool — but it is buried at the end of the description rather than front-loaded. There is no guidance on what the agent should do instead (e.g., linkedin_raw_request), so the agent is left without a fallback path.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.