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algoum-mcp

by io.github.fi4all
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Officer buy/sell ratio

insider_get_confidence
Read-onlyIdempotent

Buy/sell ratio of all reporting officers of one company over a window (score from -1 to +1) plus the capital invested.

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": {
      "ticker": "<ticker>"
    },
    "name": "insider_get_confidence"
  }
}

Input Schema

NameRequiredDescriptionDefault
tickerYesStock ticker, e.g. AAPL.
windowNoObservation period, e.g. 90d (default 90d).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description usefully adds the score's normalization range (-1 to +1) and that capital invested is included, but says nothing about how officers are counted, coverage gaps, 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?

A single dense sentence with the metric and its scale front-loaded and no filler. It is efficient, though the parenthetical about the score range interrupts the flow slightly.

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 no output schema, the description carries the return-value burden and does state the score range and the capital-invested component. It leaves the aggregation methodology and any minimum-data conditions unspecified, which is a minor gap for a single-metric 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 description coverage is 100%, so both ticker and window are already documented with examples and the 90d default. The description only echoes 'one company over a window' and adds no format or edge-case detail beyond the schema.

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 names a specific metric (buy/sell ratio of reporting officers for one company) and its output form (score from -1 to +1 plus capital invested), which is clearly distinguishable from transaction-listing siblings like insider_get_transaction. It does not explicitly name or contrast those siblings, so it stops short of 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?

There is no statement of when to use this tool versus insider_list_transactions, insider_list_cluster_buys, or insider_get_transaction. The reader can infer it is a sentiment/aggregate metric, but no conditions, prerequisites, or alternatives are given.

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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