Skip to main content
Glama

Ubuntu Security Notices / USN (usnwatch) — buy per-query in-session

data_preview

Read-onlyIdempotent

✅ No API key needed — call this now. Listing: usnwatch: Ubuntu Security Notices (USN). Price 0.01 USDC/query (max 20 queries/session). Sample questions: What is the latest Ubuntu security notice?; Were there any Linux kernel security updates for Ubuntu that need a reboot?. FREE preview — no key, no payment. Try one of the sample questions now.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoPublic listing slug. Defaults to the routed session's listing when connected via /mcp/data/{slug}/http.
questionNoOptional free-text question you'd ask this data (echoed back).

Schema Changelog

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

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the description adds value by disclosing that no API key is needed, the cost (0.01 USDC/query), a session limit (max 20 queries), and that it is free. This goes beyond the structured annotations with operational details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

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

The description is a promotional paragraph with redundant claims ('No API key needed' and 'FREE preview — no key, no payment' repeat the same point), excessive emojis, and imperative calls to action. It is not front-loaded with a clear statement of function; instead it leads with marketing. Key information is buried amid filler.

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?

For a simple tool with two optional parameters and no output schema, the description provides cost, authentication, and usage examples. However, it omits what the response contains (schema says 'public metadata only') and does not mention the default behavior of slug when routed via /mcp/data/{slug}/http. These gaps are partially covered by the schema, but the description could have added more operational context.

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

Parameters3/5

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

The schema description covers 100% of the parameters (slug and question) with clear explanations and defaults. The tool description adds no parameter-specific meaning; it only gives example questions for the 'question' field. Since schema coverage is complete, a baseline of 3 is appropriate.

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 it is a 'FREE preview' of a specific listing (usnwatch: Ubuntu Security Notices), implying the tool provides a taste of the data. However, it never explicitly states the verb (e.g., 'preview a listing') and relies on the schema description for clarity. It distinguishes from paid query tools via 'no key, no payment' but lacks a direct action statement.

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 tells the agent to 'call this now' and provides sample questions, indicating immediate use without credentials. It does not mention alternatives or when not to use this tool versus data_session_query or other siblings. The free/no-key aspect implies usage for evaluation, but no explicit exclusions or comparisons are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.6/5.0
Disambiguation3/5

Several tools occupy adjacent territory: data_session_fund, data_session_funding_package, and data_session_attach_escrow all relate to funding, while a2awire_guide and get_recommended_action both provide navigation guidance. Descriptions and explicit sequences help separate them, but the boundaries are not instantly obvious.

Naming Consistency3/5

Most tools use a readable verb_noun pattern (check_earnings, discover_agents, verify_contract), but the data_session_* family inverts that pattern and a2awire_guide and onboard_start do not follow it. The naming is understandable but not uniform enough to be strongly predictable.

Tool Count3/5

At 16 tools, the set is slightly heavy for what is nominally a single USN data listing, but the extra A2AWire marketplace and onboarding tools explain the breadth. It feels bloated rather than unwieldy.

Completeness3/5

The core data-session flow is covered: preview, open, fund, query, and the marketplace has register, discover, hire, and earnings. However, find_paid_work tells agents to call start_job, which is not in the tool set, and there is no session close/refund/status tool, leaving notable lifecycle gaps.

Resources