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CISA Known Exploited Vulnerabilities (kevwatch)

data_session_query

Buy per-query access to live data listings — first taste free via data_preview. Listing: CISA Known Exploited Vulnerabilities (kevwatch) at 0.01 USDC per query (max 20 queries/session). Sequence: data_session_open → data_session_fund → data_session_query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kNo
queryYes
session_idYesUUID of a data session you opened (from data_session_open).
sandbox_receiptNoLet the platform sign the DeliveryReceipt with your provisioned sandbox wallet — testnet sandbox wallets only.
delivery_receiptNo

Schema Changelog

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

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=false and destructiveHint=false, so the description adds useful behavioral context by disclosing the per-query charge of 0.01 USDC and the 20-query session limit. This tells the agent that invoking the tool consumes prepaid balance and is bounded per session, which goes beyond 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact, front-loaded with the core purpose, and every clause adds relevant context: free preview alternative, the specific listing, pricing, session limits, and the required call sequence. It avoids verbose phrasing or redundant restatement of the schema.

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

Completeness3/5

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

The definition captures the high-level flow, cost, and session constraints well, but leaves gaps for an agent trying to invoke it correctly: k and delivery_receipt semantics are unclear, and there is no guidance on failure behavior such as insufficient funds or expired sessions. Given the absence of an output schema, a bit more parameter and error context would make it fully complete.

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

Parameters2/5

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

Schema description coverage is only 40%, and the description does not compensate for the undocumented parameters. k, delivery_receipt, and query are not explained outside the schema, and query only has generic min/max length constraints. The description's cost and sequence details do not clarify what values these parameters should take.

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 schema description explicitly states 'Run a prepaid query against a funded data session,' which names the verb, resource, and precondition. The sequence data_session_open → data_session_fund → data_session_query also clearly positions this tool relative to its siblings, and the annotation title 'Query Data Session' reinforces the purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives an explicit ordered sequence for when to use this tool and names data_preview as the free first-taste alternative. It also communicates per-query cost and a 20-query session cap, so an agent understands this tool is intended for paid, prepaid querying after funding.

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.

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