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agiscorecard

get_claim_ledger

Read a Claim Ledger Protocol v0.1 ledger — AI-era money-making claims graded with an evidence tier (verified/reported/self-reported), a dated verdict, and a written flip condition. With no arguments returns the reference ledger (goldrush.agiscorecard.com); pass url to read and validate any site's /claimledger.json. Spec: goldrush.agiscorecard.com/protocol

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoOptional: an https URL ending in /claimledger.json to read another site's ledger. Omit for the reference ledger.

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses read-only intent and a validation side-effect, and states the default target. However, it does not mention error behavior, output format, or the network implications of fetching an arbitrary URL, leaving some behavioral gaps.

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?

The description is compact, front-loaded with the core action, and every sentence earns its place: the resource definition, the parameter behavior, and the protocol spec link. No wasted words.

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 tool with one optional parameter and no output schema, the description covers the key context: what a ledger is, what it contains, the default source, and how to target a custom ledger. It does not detail response structure or failure modes, but the embedded spec link helps fill those gaps.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds value by clarifying the default behavior when the parameter is omitted ('returns the reference ledger') and by introducing the validation aspect of passing a URL, which goes beyond the schema's simple 'read another site's ledger' phrasing.

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 opens with a specific verb and resource — 'Read a Claim Ledger Protocol v0.1 ledger' — and further defines the resource's content (evidence tiers, dated verdict, flip condition). This makes the tool's purpose unambiguous and clearly distinct from the sibling tools, which target different record types.

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 gives explicit invocation guidance: omit arguments for the reference ledger, or pass a URL ending in /claimledger.json to read another site's ledger. It does not explicitly contrast with sibling tools or state when not to use this tool, so it stops short of a full 5.

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

A4.1/5.0
Disambiguation4/5

Each tool targets a distinct data source: market-call ledger, thesis score, prediction verdicts, and site search. The only slight overlap is between thesis_tracker and verdicts, but descriptions clearly separate them by content and purpose.

Naming Consistency4/5

Three tools use the get_<object> pattern consistently with snake_case, but search_site uses a different verb. This is a minor deviation from an otherwise uniform naming convention.

Tool Count5/5

With 4 tools, the server is tightly scoped to its purpose of exposing scorecard data and site search. There is no redundancy and the count is well within the ideal range for a focused server.

Completeness5/5

The server covers all core data endpoints (market calls, thesis score, verdicts) and includes site search for any additional content. As a read-only resource, there are no obvious missing operations or dead ends.

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