Social Fetch

Get LinkedIn post or article

linkedin_post_get

Read-only

Get a LinkedIn post or article by URL.

Input Schema

TableJSON Schema

Name	Required	Description
`url`	No	Public permalink to the post or article.
`link`	No	Alias for `url`. Prefer `url`.
`path`	No	Alias for `url`. Prefer `url`.
`trim`	No	Ignored if this tool does not support it.
`limit`	No	Ignored if this tool does not support it.
`offset`	No	Ignored if this tool does not support it.
`context`	Yes	Describe the user's underlying goal in one sentence — not the tool you are calling.
`tweetId`	No	Alias for `url`. Prefer `url`.
`pageSize`	No	Ignored if this tool does not support it.
`tweetUrl`	No	Alias for `url`. Prefer `url`.
`tweet_id`	No	Alias for `url`. Prefer `url`.
`llm_model`	Yes	The 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.
`permalink`	No	Alias for `url`. Prefer `url`.
`tweet_url`	No	Alias for `url`. Prefer `url`.
`maxResults`	No	Ignored if this tool does not support it.
`max_results`	No	Ignored if this tool does not support it.
`conversation_id`	No	Echo 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.

Changed19 schema fields changedSep 21, 2026

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 / link / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / link / type
```
Removed value: -"string"
```

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 / path

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Alias for `url`. Prefer `url`."
+}

addedInput schema / properties / permalink / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / permalink / type
```
Removed value: -"string"
```

addedInput schema / properties / trim

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}

addedInput schema / properties / tweetId / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / tweetId / type
```
Removed value: -"string"
```

addedInput schema / properties / tweetUrl / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / tweetUrl / type
```
Removed value: -"string"
```

addedInput schema / properties / tweet_id / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / tweet_id / type
```
Removed value: -"string"
```

addedInput schema / properties / tweet_url / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / tweet_url / type
```
Removed value: -"string"
```

Changed7 schema fields changedSep 12, 2026

addedInput schema / properties / link

Added value: +{
+  "description": "Alias for `url`. Prefer `url`.",
+  "type": "string"
+}

addedInput schema / properties / permalink

Added value: +{
+  "description": "Alias for `url`. Prefer `url`.",
+  "type": "string"
+}

addedInput schema / properties / tweetId

Added value: +{
+  "description": "Alias for `url`. Prefer `url`.",
+  "type": "string"
+}

addedInput schema / properties / tweetUrl

Added value: +{
+  "description": "Alias for `url`. Prefer `url`.",
+  "type": "string"
+}

addedInput schema / properties / tweet_id

Added value: +{
+  "description": "Alias for `url`. Prefer `url`.",
+  "type": "string"
+}

addedInput schema / properties / tweet_url

Added value: +{
+  "description": "Alias for `url`. Prefer `url`.",
+  "type": "string"
+}

changedInput schema / required

Previous value: -[
-  "url",
-  "context",
-  "llm_model"
-]New value: +[
+  "context",
+  "llm_model"
+]

Changed5 schema fields changedSep 5, 2026

removedInput schema / additionalProperties
```
Removed value: -false
```

addedInput schema / properties / context

Added value: +{
+  "description": "Describe the user's underlying goal in one sentence — not the tool you are calling.",
+  "type": "string"
+}

addedInput schema / properties / conversation_id

Added value: +{
+  "description": "Echo 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.",
+  "type": "string"
+}

addedInput schema / properties / llm_model

Added value: +{
+  "description": "The 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.",
+  "type": "string"
+}

changedInput schema / required

Previous value: -[
-  "url"
-]New value: +[
+  "url",
+  "context",
+  "llm_model"
+]

Changed1 schema field changedAug 27, 2026

changedInput schema / $schema

Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"

Changed1 schema field changedJul 29, 2026
- addedInput schema / additionalProperties
```
Added value: +false
```
First observedJul 20, 2026

TDQS

B3.3/5.0

Behavior3/5

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

The annotations already establish read-only and open-world behavior. The description adds the key behavioral constraint that input is provided as a URL, which is useful beyond the annotations. However, it discloses nothing else—no return format, public/private URL requirements, or rate limits—so it provides only marginal extra transparency.

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?

The description is a single, declarative sentence that front-loads the core action and resource. It contains no filler, redundancy, or extraneous detail, making it appropriately concise.

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 straightforward read-only tool with fully documented parameters, the one-line description is mostly sufficient. However, the absence of an output schema and any mention of what the call returns (post content, metadata, engagement data) leaves an agent uncertain about the response shape, so it is not fully 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%, so all parameters are already documented at the schema level, including aliases and preferences. The tool description does not add any parameter-specific semantics beyond stating the URL input, which matches the baseline score of 3 for high schema coverage.

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 action ('Get'), a clear resource ('LinkedIn post or article'), and the input method ('by URL'), making the tool's function immediately understandable. However, it does not explicitly distinguish this tool from sibling tools such as linkedin_post_transcript_get or linkedin_posts_search_list, so it lacks the explicit sibling differentiation that would merit 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?

The description offers no guidance on when to use this tool versus alternatives like linkedin_posts_search_list or linkedin_company_posts_list. It neither states explicit prerequisites nor exclusion conditions, leaving an agent to infer selection criteria on its own.

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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Get LinkedIn post or article

Input Schema

Schema Changelog

TDQS

Glama MCP Gateway

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