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probability_calendar

Upcoming market resolutions in the next N days with current probabilities. Active markets resolving inside the horizon, sorted by resolution date with the current blended probability. An agent's event calendar: what settles soon and where it stands. [HTTP: GET /v1/calendar · price $0.01 via x402 · docs https://x402-factory.com/docs/probability.calendar]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysYes
segmentNoWave-1 fine taxonomy (12 segments); overrides category
categoryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose key behavior: only active markets inside the horizon are returned, results are sorted by resolution date, and the probability is a blended value. It also surfaces the HTTP endpoint, the $0.01 x402 payment requirement, and a docs link — meaningful cost/access context. Pagination and result-size limits remain unstated.

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?

Front-loaded with the core purpose and efficiently sized. The first two sentences overlap heavily ("next N days" vs "resolving inside the horizon"), a minor redundancy, but the metadata bracket is compact and useful.

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?

With no output schema and no annotations, the description adequately conveys what a calendar call returns (soonest resolutions and their probabilities). It falls short on the category/segment override relationship, which is the one non-obvious aspect of invoking this tool correctly.

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

Parameters2/5

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

Schema coverage is only 33% (just the segment field is documented). The description clarifies the days horizon semantics but says nothing about what category accepts, how segment "overrides category," or how the two interact — leaving the primary filtering parameters underspecified in both schema and prose.

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?

States a specific resource and scope: active markets resolving within the next N days, sorted by resolution date, with blended probability. An agent can grasp the intent immediately, though it never names or distinguishes itself from the many sibling probability_calendar_<segment> variants that likely do the same thing pre-filtered.

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

Usage Guidelines3/5

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

"An agent's event calendar: what settles soon and where it stands" implies when it is useful, but there is no explicit when-to-use vs. when-not, and no guidance on choosing this tool over probability_calendar_<segment> or probability_board_*. Usage is only implied.

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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