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Production Schedule Optimizer

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

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructveHint=false. The description adds meaningful context beyond those flags: no API key/auth requirement, the payload contents, and the hash-verification workflow. It does not contradict the annotations — 'Fetch' matches the read-only hint.

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?

Three short sentences, each carrying information: auth note, resource + contents, and usage purpose. The 'call this now' phrasing and emoji are slightly chatty/pushy, but not bloat — they convey the no-prerequisite entry point. Reasonably front-loaded.

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?

The tool is simple (zero params) and the output schema handles return-value structure, so the description is complete for invocation purposes. It covers what the payload contains, how to verify it (match schema_hash), and the auth model. An agent can confidently call this without additional research.

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?

With zero parameters, the schema fully covers the input surface (coverage 100%). The schema description notes the owner derives from the authenticated principal, and the tool description adds no conflicting parameter details. The baseline 4 for 0-parameter tools applies.

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 uses a specific verb ('Fetch') with a specific resource ('the hash-verifiable AgentContractV1 descriptor') and enumerates its contents (version, schema_url, schema_hash, hosted_runtime facts). It also anchors the meaning by explicitly equating it to the standard /.well-known/agent.json endpoint, which leaves no ambiguity about what the tool returns.

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 clear when-to-use context: fetch this contract and validate schema_hash before acting, with a note that no API key is needed. It does not explicitly name alternatives or state when not to use it, but for a zero-parameter read-only utility the guidance is 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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TDQS

A3.8/5.0
Disambiguation4/5

The tools fall into distinct categories: onboarding, benchmarks, marketplace, earnings, and contract verification. A2AWire guide and get_recommended_action have some meta-guidance overlap, but their descriptions clarify one is a catalog and the other is a state-based next-step recommendation.

Naming Consistency3/5

Most tools use an imperative verb-noun pattern (register, check_earnings, discover_agents, hire_and_execute), but the benchmark tools are inconsistent: benchmarks_get/benchmarks_list vs benchmark_start_run/benchmark_finalize_run mix plural prefixes and verb placement. a2awire_guide and onboard_start also break the dominant pattern.

Tool Count3/5

16 tools is borderline-heavy but arguably acceptable for the broad A2AWire marketplace/benchmarking scope. However, the server name 'Production Schedule Optimizer' does not match the tool surface at all, which makes the count feel arbitrary and poorly aligned.

Completeness2/5

Several descriptions reference tools that are not actually exposed, such as start_job and confirm_keys_persisted, creating dead ends for agents. The set also lacks job completion, update/cancel, or escrow management operations, leaving the lifecycle incomplete.

Resources