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xDEO — Earnings Oracle

read_estimate

Full thesis for one estimate. Analyst-priced x402 payment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
payment_tokenNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description should fully disclose behavior. It hints at a payment mechanism but does not state if the tool is read-only, idempotent, or what happens on invalid input. The payment aspect is ambiguous.

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

Conciseness3/5

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

The description is short but the second sentence 'Analyst-priced x402 payment' is cryptic and minimally informative. It could be either clarified or removed to improve conciseness.

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?

With no output schema and no annotations, the description should provide more context about return values and behavior. It does not explain what 'Full thesis' entails or how the payment token is used, leaving significant gaps.

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% and the description does not explain the two parameters. 'id' and 'payment_token' are not defined, and 'payment_token' especially needs clarification as it relates to the 'Analyst-priced' hint.

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 'Full thesis for one estimate', indicating a read operation on a single estimate, which is clear. However, it does not differentiate from sibling tools like 'ai_thesis' or 'ticker_consensus', which might also involve thesis retrieval.

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?

No guidance on when to use or not use this tool versus alternatives. The phrase 'Analyst-priced x402 payment' suggests a payment requirement but is cryptic and does not clarify usage context.

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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TDQS

B3.1/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: listing tickers, estimates, submissions, consensus, AI thesis, leaderboard, and verdict. No two tools overlap in function; even 'ai_thesis' and 'read_estimate' are differentiated by the synthesis aspect.

Naming Consistency3/5

Naming is mixed: some tools use verb_noun (list_estimates, submit_estimate) while others are bare nouns (leaderboard, verdict). This inconsistency could confuse an agent expecting a uniform pattern, though the names are individually clear.

Tool Count5/5

With 8 tools, the server covers the core workflows of an earnings oracle (browsing, analyzing, submitting, evaluating) without excessive or insufficient tools. The count is well-scoped for the domain.

Completeness5/5

The tool surface appears complete: discovery (list_tickers), data retrieval (list_estimates, ticker_consensus, read_estimate, ai_thesis), contribution (submit_estimate), and post-earnings analysis (verdict) plus reputation (leaderboard). No obvious gaps.

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