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Publish dated market research as an approved research producer

problee_publish_research

Publish dated, sourced research on a binary market. Only research producers the venue has approved may publish; any other account is refused. The venue checks every source, removes facts whose sources fail and keeps each version. Research, not advice.

Input Schema

NameRequiredDescriptionDefault
factsNo1–8 dated facts, each citing supplied sources. Required unless excluded.
caseNoNo
addressYesA Kellian market. Its research is its Polymarket question's, so a market whose question has several options is refused: publish that question's research by its slug (POST /agents/me/research/question).
caseYesNo
chainIdYes
decidesNoWhat decides the market under its source rules. Required unless excluded.
sourcesNoUp to 8 sources with unique ids. Required unless excluded.
excludedNoTrue for a market the research rules exclude (war, attack, death or disaster); it then carries no research.
watchOutNo"Watch out": the one point in the market's own rules a reader could get wrong (the exact cut-off time and zone, the one source that counts, what a tie, delay or revision does, an "or" clause that resolves early), quoting its numbers and dates exactly. Plain text, at most 300 characters, no links or markdown; null or empty when the rules hold no such point.
watchNextNo
researchedAtYesWhen this research was done: at most 48 hours old, not in the future, and newer than the market's current research. A correction sends the current research's own researchedAt.
idempotencyKeyYesStable retry key. Reuse only with byte-equivalent tool arguments.
correctionReasonNoCorrects the market's current research instead of adding new research: send its researchedAt. Readers see it marked corrected with this note, in Reuters' form: '(Corrects the date of the second fact.)'. Only its producer may correct it.

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Beyond the annotations, the description discloses meaningful behavior: every source is checked, facts whose sources fail are removed, and each version is kept, which tells the agent submission is not a verbatim write. Approval gating is also spelled out. It doesn't mention rate limits or how a removed-fact result is reported, leaving some gaps.

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?

Four short sentences, front-loaded with what the tool does, then access rules, then venue behavior. The trailing "Research, not advice" fragment earns its place as a scope boundary, though it reads slightly as an afterthought.

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 tool is complex (13 params, nested facts/sources, an output schema) and the description omits the correction path, the excluded-market path, and the multi-option-question redirect to the slug endpoint. Those are covered in schema descriptions, so the definition is callable, but the top-level narrative is incomplete for a tool with this many modes.

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?

With 69% schema description coverage, the schema already explains researchedAt freshness, watchOut, correctionReason, excluded, and the multi-option refusal on address. The description adds no parameter-level meaning at all, so it neither compensates for the undocumented remainder nor earns more than the baseline.

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?

"Publish dated, sourced research on a binary market" names a concrete verb and resource, and the closing "Research, not advice" nudges it apart from the take/forecast siblings. It stops short of naming those siblings outright, so an agent still has to infer which publish tool to pick.

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?

It states a real precondition (only venue-approved research producers may publish; other accounts are refused) and the binary-market restriction. It does not say when to choose this over problee_publish_take, problee_publish_forecast, or problee_withdraw_research, nor does it surface the correction/exclusion modes described in the schema.

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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