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open_precommitment

Read-onlyIdempotent

Pre-register a strategy's forward performance claim before outcomes are known, returning a signed digest that proves the claim predated results and prevents curve-fitting.

Instructions

Pre-register a strategy's forward claim BEFORE outcomes are known — a 'clinicaltrials.gov for backtests'. Returns a SIGNED, immutable registration digest: proof the claim predated the result, so it can't be a curve-fit chosen after the fact. Then report live returns with report_precommit; the report timeline is hash-chained and tamper-evident (a backfill/reorder/edit is publicly detectable via verify_chain). ANCHOR the returned digest on-chain (anchor_receipt) to make 'committed at T' provable to everyone, not just to numguard. HONEST LIMIT: this proves the CLAIM + TIMELINE, not that the reported return VALUES are real (self_reported).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesYour metering key — any stable string identifying you; it tracks your free-tier calls and prepaid credit balance.
scheduleNoOptional reporting schedule, e.g. 'daily'.
claimed_srYesThe per-period Sharpe you claim it will hold going forward.
strategy_idYesA name/id for the strategy you're committing to.
horizon_periodsYesThe forward window (in periods) you commit to reporting.
periods_per_yearNoPeriods per year (252 daily).
Behavior5/5

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

Beyond the annotations (readOnlyHint, idempotentHint), the description discloses that it returns a signed immutable digest, that the timeline is hash-chained and tamper-evident, and honestly states the limit about self-reported values. This adds substantial behavioral context.

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?

The description is five sentences but each adds value: purpose, return type, follow-up tools, anchoring option, and honest limitations. It is somewhat dense but well-structured and front-loaded with the core purpose.

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?

Even without an output schema, the description communicates the return type (signed digest) and the overall workflow. It could specify the exact digest format or error behavior, but for a tool of this complexity, it provides sufficient context for correct invocation and follow-up.

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?

The input schema already provides descriptions for all 6 parameters (100% coverage). The description mentions claimed_sr and horizon_periods in context but adds no new parameter-specific meaning beyond what the schema gives, matching the baseline for high coverage.

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?

The description clearly states the tool pre-registers a forward claim before outcomes are known, using the 'clinicaltrials.gov for backtests' analogy. It specifies the action (pre-register), resource (strategy's forward claim), and differentiates from related tools by emphasizing the pre-outcome timing.

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

Usage Guidelines4/5

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

The description provides clear context for when to use it (before outcomes) and outlines the follow-up workflow (report_precommit, anchor_receipt). It does not explicitly exclude alternatives like open_commitment, but the pre/post distinction is implicit and sufficient.

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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