Skip to main content
Glama

Social Fetch

by io.github.social-freak-ltd
OverviewDiscussionsAdmin

Get LinkedIn interests

linkedin_live_person_interests_v2
Read-only

Get interests for a LinkedIn person. Accepts a entity id. Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trimNoIgnored if this tool does not support it.
limitNoIgnored if this tool does not support it.
offsetNoIgnored if this tool does not support it.
contextYesDescribe the user's underlying goal in one sentence — not the tool you are calling.
entityIdNoLinkedIn person entity ID. Not a vanity handle.
pageSizeNoIgnored if this tool does not support it.
entity_idNoAlias for `entityId`. Prefer `entityId`.
llm_modelYesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
maxResultsNoIgnored if this tool does not support it.
max_resultsNoIgnored if this tool does not support it.
conversation_idNoEcho the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed8 schema fields changed
    • addedInput schema / properties / entity_id / anyOf
      Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]
    • removedInput schema / properties / entity_id / type
      Removed value: -"string"
    • addedInput schema / properties / limit
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}
    • addedInput schema / properties / maxResults
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}
    • addedInput schema / properties / max_results
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}
    • addedInput schema / properties / offset
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}
    • addedInput schema / properties / pageSize
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}
    • addedInput schema / properties / trim
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}
  2. Changed2 schema fields changed
    • addedInput schema / properties / entity_id
      Added value: +{
+  "description": "Alias for `entityId`. Prefer `entityId`.",
+  "type": "string"
+}
    • changedInput schema / required
      Previous value: -[
-  "entityId",
-  "context",
-  "llm_model"
-]New value: +[
+  "context",
+  "llm_model"
+]
  3. Added

TDQS

B3.2/5.0
Behavior3/5

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

The description adds useful behavioral context beyond annotations: it returns a list and uses cursor-based pagination. Annotations already cover the read-only and open-world aspects, so the bar is lower; the description provides some enrichment without detailing error paths or data freshness.

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 the core purpose front-loaded. The phrase 'Accepts a entity id' is slightly redundant with the schema and grammatically awkward, but the overall size and structure are appropriate.

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?

With 11 parameters and no output schema, the description provides the essential flow: pass an entity id, get a list, paginate with a cursor. However, it does not explain what the list contains, how the cursor is obtained/passed (no cursor parameter exists in the schema), or reconcile the confusing 'Ignored if this tool does not support it' pagination fields.

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%, so the baseline is 3. The description reiterates that an entity id is accepted and that pagination is cursor-based, which adds a small amount of meaning beyond the schema, but it does not clarify which of the many pagination parameters (limit, offset, pageSize, maxResults) actually apply.

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 states a specific verb and resource ('Get interests for a LinkedIn person'), and the resource noun 'interests' distinguishes it from sibling person tools like posts or comments. The grammar issue ('a entity id') slightly detracts but does not obscure meaning.

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 guidance is given on when to prefer this tool over alternatives, nor are any exclusion criteria provided. Given the large family of linkedin_live_person_* tools, the agent must rely on the resource name alone to select it.

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

All Social Fetch toolsInspect
Try in Browser
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources