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Glama

Agent Tool Release Tracker — buy per-query in-session (techlaunchwatch)

by com.a2awire

data_preview

Read-onlyIdempotent

✅ No API key needed — call this now. Listing: techlaunchwatch: Agent Tool Releases & Tech Announcements. Price 0.01 USDC/query (max 20 queries/session). Sample questions: What is the latest version of LangGraph and what changed?; Which agent tools released new versions this week?. 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

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive. The description does add access/cost context: no API key needed, 0.01 USDC/query, max 20 queries/session. But it creates ambiguity by stating both 'Price 0.01 USDC/query' and 'FREE preview — no key, no payment' without clarifying whether the preview call itself is free or actually costs money.

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 bloated and repetitive: the free/no-payment message appears twice, there are promotional emojis and calls-to-action, and the sample questions are unnecessary bulk. It is not a tightly scoped tool definition; it reads like a marketing blurb.

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

Completeness2/5

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

With no output schema, the description should clarify what the preview actually returns, but it never states that responses contain public metadata only. The free-vs-paid contradiction also leaves an agent uncertain about the cost implications of invoking the tool. Schema covers params and annotations cover safety, but the core call semantics remain incomplete.

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?

Schema description coverage is 100%, so the schema already documents slug and question. The description adds example question values but does not add meaningful semantics for slug or parameter formats beyond what the schema provides.

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 identifies the tool as a free preview of a data listing and names the specific listing (techlaunchwatch). It distinguishes itself from session-based siblings with 'No API key needed' and 'FREE preview', making the core purpose reasonably clear despite the promotional tone.

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?

It gives clear context for when to use it: when you want a free, keyless preview, and it offers sample questions as concrete usage examples. However, it never explicitly tells the agent when not to use it or which sibling to reach for instead, so the routing guidance is implied rather than stated.

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

All Agent Tool Release Tracker — buy per-query in-session (techlaunchwatch) toolsInspect
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TDQS

B3.2/5.0
Disambiguation2/5

Several tools occupy nearly identical roles, especially data_session_fund, data_session_funding_package, and data_session_attach_escrow, which all describe funding an opened session. The guidance pair a2awire_guide/get_recomm ended_action and onboarding pair register/onboard_start also blur boundaries. An agent would frequently need to read fine-grained details to pick the correct tool.

Naming Consistency3/5

Most tools use snake_case and the data_session_* group provides some consistency, but conventions mix: a2awire_guide is a noun, register is a bare verb, and onboard_start/hire_and_execute/verify_contract follow different verb patterns. It remains readable, but it is not a uniform verb_noun system.

Tool Count3/5

16 tools is at the heavy end for a focused per-query data listing flow, and the funding step is represented by three overlapping tools plus two guidance-oriented tools. A leaner set around the data_session lifecycle plus the needed marketplace hooks would be more appropriate.

Completeness3/5

The core buy-per-query flow (register, preview, open, fund, query, check earnings) is present, but there are notable gaps: no session status/remaining-queries tool, no close/refund path, and only one data listing is exposed. The extra A2AWire tools hint at a broader marketplace but omit obvious lifecycle pieces such as listing management or job posting.

Resources