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Market Intelligence API (core)

market.summary

Read-onlyIdempotent

Get market-wide breadth, buying pressure, momentum, unusual activity and data freshness. Use for breadth, regime and the top movers in one call; for a goal-driven scan use market.opportunities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
windowNoAggregation window of the live trade buckets: 1m, 5m (default) or 15m5m

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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 safety and idempotency are covered. The description adds that results come in 'one call' and include 'data freshness', but does not cover rate limits, auth, or return shape. With annotations carrying the behavioral burden, a 3 is appropriate.

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 tight sentences: the first front-loads what is returned, the second handles routing. No filler or repetition of the tool name.

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?

For a read-only, zero-required-param tool with no output schema, the description conveys the returned dimensions and the alternative route. Missing only minor detail such as response shape expectations, which is acceptable given the rich annotation coverage.

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 single 'window' parameter already documents its enum values and default, so the schema does the heavy lifting. The description adds no window semantics beyond that, which is the expected baseline when coverage is complete.

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 concrete verb and enumerates the specific content returned (breadth, buying pressure, momentum, unusual activity, data freshness), so the agent knows exactly what this resource provides. It also explicitly distinguishes itself from the sibling market.opportunities.

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

Usage Guidelines5/5

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

Gives an explicit use case ('breadth, regime and the top movers in one call') and names the alternative tool plus the condition that selects it ('for a goal-driven scan use market.opportunities'). The routing decision is unambiguous.

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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