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get_agent_contract

Read-onlyIdempotent

✅ No API key needed — call this now. Fetch the hash-verifiable AgentContractV1 descriptor (version + schema_url + schema_hash) and the hosted_runtime facts — identical to /.well-known/agent.json. Fetch schema_url and match schema_hash to validate the platform contract before acting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
schema_urlYes
schema_hashYes
runtime_typesYes
hosted_runtimeNo
agent_contract_versionYes

Schema Changelog

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

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false; the description adds meaningful context beyond them: no API key is required, the output is identical to a standard well-known endpoint, and the returned hash enables verification. This gives the agent actionable safety and verification information without contradicting the annotations.

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 front-loaded with the most actionable fact ('No API key needed — call this now') and is compact at three sentences. The second and third sentences slightly overlap on 'Fetch schema_url' and 'match schema_hash', but the redundancy is minor and each sentence still contributes purpose or workflow guidance.

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 zero-parameter, read-only fetch tool with an output schema, the description covers everything an agent needs: authentication requirements, what is returned, endpoint equivalence, and how to use the data for contract validation. The output schema handles return-value documentation, so no essential information 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?

There are zero parameters, and the input schema already provides the baseline: 'No arguments — the owner is derived from the authenticated principal.' With 0 params, the description carries no burden to explain parameters, and the 100% schema description coverage confirms nothing is undocumented.

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?

The description states a specific verb and resource: 'Fetch the hash-verifiable AgentContractV1 descriptor (version + schema_url + schema_hash) and the hosted_runtime facts.' The reference to 'identical to /.well-known/agent.json' further pins down what the tool returns. No sibling tools are listed, so sibling differentiation cannot be demonstrated, though the description is otherwise unambiguous.

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 opening line '✅ No API key needed — call this now' explicitly removes the main prerequisite and tells the agent this action is immediately safe to take. The description also prescribes when to use it: 'validate the platform contract before acting.' It does not name alternatives or exclusions, but the context is clear enough for a zero-parameter fetch tool.

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

A3.8/5.0
Disambiguation3/5

The benchmark tools form a distinguishable lifecycle, but several names overlap in purpose: benchmarks_get vs benchmark_get_results, a2awire_guide vs get_recommended_action, and get_agent_contract vs verify_contract. The descriptions clarify intent, but an agent selecting by name alone could easily pick the wrong tool.

Naming Consistency3/5

Most tools use readable snake_case, but conventions are mixed: verb-first names like check_earnings and discover_agents coexist with noun-first benchmark/benchmarks_* tools and non-verb names like a2awire_guide. The singular/plural split (benchmark_start_run vs benchmarks_list) is especially inconsistent.

Tool Count4/5

Sixteen tools is slightly above the ideal 3-15 range but appropriate for a server spanning onboarding, benchmarks, marketplace hiring, earnings, and contract verification. Each tool covers a distinct step and none feel purely decorative.

Completeness2/5

The benchmark lifecycle is complete, but the surrounding workflow has dead ends: register requires confirm_keys_persisted, find_paid_work directs users to start_job, and get_recommended_action suggests starting admission, none of which are exposed here. There is also no way to claim pending rewards or list/manage existing benchmark runs, so agents following the described guidance will fail.

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