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Guidance Accuracy & Bias History

get_guidance_accuracy

Historical track record of management financial guidance vs actual reported results. Calculates average absolute variance percentage, guidance accuracy score (0-100), and systematic overpromising or conservative bias.

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": "get_guidance_accuracy"
  }
}

Input Schema

NameRequiredDescriptionDefault
tickerYesStock ticker symbol, e.g. AAPL
quartersNoNumber of historical quarters to analyze

Output Schema

NameRequiredDescriptionDefault
noticeNoFree-tier upgrade notice; only when results are masked/delayed.
resultsYesTool result payload (read-only evidence). Shape varies by tool; scoring weights are never exposed.
history_limitNoPresent when the license limits history depth: earliest_allowed date, history_days and how many older items were removed.
deprecated_fieldsNoPresent only while a renamed key is still returned next to its replacement: field (old key), replacement (new key, same value), removal (ISO date after which the old key is gone).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / properties / deprecated_fields
      Added value: +{
      +  "description": "Present only while a renamed key is still returned next to its replacement: field (old key), replacement (new key, same value), removal (ISO date after which the old key is gone).",
      +  "items": {
      +    "additionalProperties": true,
      +    "type": "object"
      +  },
      +  "type": "array"
      +}
  2. First observed

TDQS

B3.1/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=false, but the description adds no behavioral context such as side effects, permissions, or why a get/historical-analysis tool is marked non-read-only. It describes the calculations performed, not the tool's operational behavior beyond the annotations.

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 two tightly written sentences with no filler. It front-loads the core purpose and then names the specific outputs, so every sentence earns its place.

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?

The output schema exists, and the annotations provide a safety profile, so the description need not explain return structure. However, it lacks sibling differentiation and does not resolve the unusual readOnlyHint=false signal for an analytical get tool, leaving meaningful context gaps.

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%, and the schema fully documents ticker and quarters, including defaults and min/max. The description does not add parameter semantics beyond the schema, so the baseline of 3 is appropriate.

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 resource and analysis: historical management guidance versus actual reported results, plus the computed metrics. It is clear what the tool returns, but it does not explicitly distinguish itself from overlapping siblings such as get_track_record or get_management_credibility.

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 explicit when-to-use guidance, no exclusions, and no named alternatives. An agent can infer that this is for guidance-accuracy analysis, but the description does not say when to choose it over related tools like get_management_credibility or get_track_record.

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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