Social Fetch

Ask a question about a web page

web_ask_run

Read-only

Ask a natural-language question about a specific web page and get an LLM-generated answer. Accepts a URL.

Input Schema

TableJSON Schema

Name	Required	Description
`q`	Yes	Natural-language question to answer about the page content.
`url`	No	Web page URL to fetch.
`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",
-  "q",
-  "context",
-  "llm_model"
-]New value: +[
+  "q",
+  "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",
-  "q"
-]New value: +[
+  "url",
+  "q",
+  "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?

Annotations already mark the tool as readOnly and openWorld, so the description's extra note that the answer is 'LLM-generated' adds useful non-obvious context. It does not discuss rate limits, fetch failures, or what happens when the page is unavailable, but this is a modest gap given the annotation coverage.

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 brief sentences, front-loaded with the core action and result type. The final sentence is slightly redundant with the title, but overall the definition is compact and scannable.

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?

The description is unusually sparse for an 18-parameter tool and subtly undercuts the schema by implying that a URL is the key input while q, context, and llm_model are actually required. It also offers no selection guidance relative to the nearby web_* siblings, and with no output schema, the vague 'LLM-generated answer' is less actionable than it could be.

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 adds little beyond 'Accepts a URL,' and it does not clarify the required q, context, and llm_model fields or the large set of alias/ignored parameters, which is where extra value could have been added.

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 specific action ('ask a natural-language question') and resource ('specific web page'), with the distinguishing result being an 'LLM-generated answer.' It is clear on its own, though it does not explicitly differentiate itself from siblings like web_extract_run or web_crawl_run.

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?

The wording implies this tool is for question-answering about a single page's content, but it never states when not to use it or which alternative (e.g., web_extract_run, web_crawl_run, web_search_run) to choose. There are no explicit conditions or exclusions.

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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Ask a question about a web page

Input Schema

Schema Changelog

TDQS

Glama MCP Gateway

Resources