Gogi

Get Data Feed

get_data_feed

Read-onlyIdempotent

Query a subscribed marketplace data feed by feed_id. Pass a ticker in query (e.g. AAPL). Returns FMP-backed data for financials/insider/congress feeds, or a text preview for uploaded file feed ids.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "feed_id": "<feed_id>"
    },
    "name": "get_data_feed"
  }
}

Input Schema

Name	Required	Description	Default
`query`	No	Ticker symbol to query (required for marketplace feeds)
`feed_id`	Yes	Data feed ID (e.g. corporate-insider-radar) or uploaded file id

Output Schema

Name	Required	Description	Default
`error`	No
`message`	No
`success`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedSep 13, 2026

changedOutput schema / description

Previous value: -"Structured Gogi result. Error responses include error and message fields."New value: +"Structured result. Error responses include error and message."

addedOutput schema / properties

Added value: +{
+  "error": {
+    "type": "string"
+  },
+  "message": {
+    "type": "string"
+  },
+  "success": {
+    "type": "boolean"
+  }
+}

Changed1 schema field changedSep 13, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "description": "Structured Gogi result. Error responses include error and message fields.",
+  "type": "object"
+}

First observedSep 13, 2026

TDQS

A4.2/5.0

Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds real behavioral context beyond that: output varies by feed type (FMP-backed financials/insider/congress data vs. a text preview for uploaded files), which helps the agent anticipate results.

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?

Two sentences, front-loaded with the core action and scope, then the query requirement and return behavior. No filler sentences.

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

Completeness4/5

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

With an output schema present, the description needn't detail return fields, and it correctly summarizes the divergent return behavior across feed types. It is essentially complete for a two-parameter read tool, with only discovery/prerequisite guidance absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds a concrete format example ('e.g. AAPL') for the query ticker and clarifies that query values map to feed types (marketplace vs. uploaded file id). That is modest but genuine added meaning.

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?

States a specific verb ('Query') and resource ('subscribed marketplace data feed') scoped by feed_id, which cleanly distinguishes it from the sibling list_data_feeds. An agent can tell it retrieves data for one feed rather than enumerating feeds.

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?

It conveys the mechanics of usage (pass a ticker in query for marketplace feeds) and implies different behavior for uploaded file ids, but never states prerequisites or names the alternative (e.g. list_data_feeds) for discovering feed_ids. Usage context is implied rather than explicit.

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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