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AIsa Finance

Get Analyst Estimates

get_financial_analyst_estimates
Read-onlyIdempotent

Published reference price: $0.02 USD per successful request. Account-specific pricing and final settlement may differ.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
periodNo
tickerNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed7 schema fields changed
    • removedInput schema / properties / limit / description
      Removed value: -"The maximum number of estimates to return (max 3 for annual, 12 for quarterly)."
    • changedInput schema / properties / limit / type
      Previous value: -"integer"New value: +"string"
    • removedInput schema / properties / period / description
      Removed value: -"The period to get analyst estimates for. Use the /analyst-estimates/periods endpoint to get a list of available periods. Defaults to 'annual'."
    • removedInput schema / properties / period / enum
      Removed value: -[
      -  "annual",
      -  "quarterly"
      -]
    • removedInput schema / properties / ticker / description
      Removed value: -"The ticker to get analyst estimates for."
    • changedInput schema / required
      Previous value: -[
      -  "ticker"
      -]New value: +[]
    • changedOutput schema / (root)
      Previous value: -{
      -  "additionalProperties": true,
      -  "type": "object"
      -}New value: +null
  2. First observed

TDQS

D1.3/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered by structured fields. The description's only added behavioral information is a per-request pricing disclosure ($0.02 USD per successful request, with settlement caveats) — genuinely beyond the annotations, but boilerplate that says nothing about return shape, data scope, or latency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is short but consists of HTML-comment-wrapped pricing boilerplate rather than tool documentation. It is under-specified rather than concise: every sentence is spent on billing metadata and none on the tool's function.

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

Completeness1/5

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

For a data-retrieval tool with three undocumented parameters, no output schema, and a dense field of similar financial siblings, the description supplies nothing an agent needs to invoke it correctly. The pricing banner does not substitute for purpose, parameter, or routing information.

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

Parameters1/5

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

Schema description coverage is 0% across three parameters (limit, period, ticker), none typed beyond 'string' and none described anywhere. The description must compensate and instead provides zero parameter meaning — no format for ticker, no accepted values for period, no units or default for limit.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description never states what the tool does. The only content is an AISA pricing banner, so the agent must infer purpose entirely from the name 'get_financial_analyst_estimates' and the title 'Get Analyst Estimates'. Nothing distinguishes this from siblings like get_financial_earnings or get_financial_financial_metrics.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no routing to any of the 27 sibling tools. With many near-synonymous financial siblings, the absence of any selection criteria leaves the agent with no basis for choosing this tool over alternatives.

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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