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Strale - 290+ API capabilities for AI agents

strale_methodology

Returns Strale's trust methodology as a short reference document — covers test cadence, audit records, and provenance. No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses that it returns a reference document and that no API key is required, which implies a read-only, low-friction operation. It does not mention rate limits, output size, or any state changes, but for a zero-parameter info tool these are minor 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?

A single, efficient sentence that front-loads the primary behavior (returns a reference document), then lists the covered topics, and ends with an important auth requirement. Every word adds value with no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple zero-parameter, no-output-schema tool, the description fully covers what an agent needs: what it returns, its content scope, and whether authentication is needed. Nothing essential is missing.

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?

The tool has zero parameters, and the schema coverage is trivially 100%. The description correctly adds no parameter-specific details because none exist; the baseline for a no-parameter tool is 4, and the description doesn't need to compensate.

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 verb ('Returns') and resource ('Strale's trust methodology') and lists the document's contents (test cadence, audit records, provenance). While it doesn't explicitly distinguish itself from siblings like strale_getting_started or strale_trust_profile, the described content uniquely identifies it as a methodology reference.

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?

The description gives contextual hints about when to use it (when you need trust methodology, test cadence, audits, provenance) and notes that no API key is required. However, it does not explicitly state when not to use it or name alternative tools, leaving the routing to inference.

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

A4.4/5.0
Disambiguation5/5

Each tool addresses a distinct function: balance checks, capability execution, onboarding, methodology docs, connectivity, registry search, transaction history, trust profiling, and on-chain assurance. There is no overlap or ambiguity between tool purposes.

Naming Consistency5/5

All tools follow the consistent pattern of a 'strale_' prefix with lowercase snake_case names (e.g., strale_balance, strale_getting_started). The naming is uniform and predictable across the entire set.

Tool Count5/5

With 9 tools, the server is well-scoped for its purpose of exposing core interactions with a 290+ capability API. It avoids bloat while providing all necessary operations without being too sparse.

Completeness5/5

The tool surface covers the full lifecycle: discovery (strale_search), execution (strale_execute), financial management (strale_balance), audit (strale_transaction), trust evaluation (strale_trust_profile), specialized on-chain checks (strale_web3_assurance), plus support functions (getting_started, ping, methodology). No obvious gaps exist.