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CISA Known Exploited Vulnerabilities (kevwatch)

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

A4.7/5.0
Behavior5/5

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

Annotations already mark this as read-only, idempotent, and non-destructive, and the description reinforces this by calling it a fetch. It adds genuinely useful behavioral context: no authentication barrier, hash-verifiability, equivalence to a well-known endpoint, and the recommended validation workflow (match schema_hash against schema_url).

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?

Three sentences, each earning its place: the callability/auth status, the resource contents, and the validation action. The key fact ('no API key needed') is front-loaded, and no wording is redundant.

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?

Given zero parameters, an available output schema, and annotations covering safety/idempotency, the description leaves no practical gap. It explains what is returned, how it relates to a known standard, and exactly what the agent should do with the result.

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, so there is nothing for the description to explain at the argument level. The schema already notes that the owner is derived from the authenticated principal, and the description's zero-parameter nature is implicitly confirmed by the tool being directly callable. Baseline 4 is appropriate for a no-param tool.

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 identifies the tool's function: fetching the AgentContractV1 descriptor (version, schema_url, schema_hash) and hosted_runtime facts. It also defines the relation to /.well-known/agent.json, making the resource unmistakable even without inspecting the output schema.

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 actionable guidance on when to call it: no API key is needed, it can be called immediately, and it should be used to validate the platform contract before acting. It lacks explicit 'when not to use' or alternative tool comparisons, but the context is clear enough for an agent to decide.

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

B3.2/5.0
Disambiguation2/5

Several tools occupy hazy boundaries: data_session_fund, data_session_funding_package, and data_session_attach_escrow all concern session payment/funding, and a2awire_guide overlaps with get_recommended_action as a navigation/guidance tool. Agents may easily pick the wrong call without reading descriptions carefully.

Naming Consistency4/5

Most names follow a clear snake_case verb_noun pattern such as data_session_open, find_paid_work, and verify_contract. Minor deviations like a2awire_guide, data_session_funding_package, and register keep it from being perfectly uniform, but the convention is generally predictable.

Tool Count3/5

16 tools is at the heavy edge of a normal surface, and many of the tools are generic A2AWire marketplace helpers rather than KEV-specific functionality. A dedicated KEV server would feel tighter with fewer, but the count is not extreme.

Completeness2/5

The set describes a wider marketplace but omits a referenced start_job tool, creating a dead end after find_paid_work. It also lacks any direct KEV query/metadata/session-status tool beyond the payment/session flow, so agents cannot fully complete the advertised workflows.

Resources