Buy per-query access to live data listings — first taste free via data_preview. Listing: techlaunchwatch: Agent Tool Releases & Tech Announcements (0.01 USDC/query (max 20 queries/session)). Open a prepaid session, then fund and query.
| Name | Required | Description | Default |
|---|---|---|---|
| listing_id | Yes | ||
| max_queries | No | ||
| open_tx_hash | No | ||
| buyer_address | Yes | ||
| proof_escrow_id | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations only mark readOnly=false, so the description carries most of the behavioral burden. It adds useful context about pricing, per-query limits, and the prepaid/open-then-fund flow, but it leaves ambiguity about the actual side effects of opening, such as repeated calls, escrow usage, or whether opening itself charges funds. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with the core action and followed by a sequenced workflow. The listing-specific parenthetical is somewhat noisy but not bloated.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 5-parameter state-changing tool with no output schema and no parameter descriptions, the description does not explain return values, required address semantics, or optional escrow/hash parameters. It also leaves the relationship between the session cap and max_queries unclear.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, and the description does not explain required parameters like listing_id or buyer_address, nor optional open_tx_hash or proof_escrow_id. The only parameter-adjacent detail is the per-query price and a 20-query session cap, which is not cleanly mapped to the max_queries schema parameter and may confuse the agent.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a clear verb+resource: buy per-query access to live data listings and open a prepaid session. It is distinguishable from siblings like data_preview and data_session_query by the open/fund/query sequence, though the embedded listing-specific pricing text adds some ambiguity about scope.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly positions data_preview as the free first step and directs the agent to fund and query after opening. It does not state exclusions or when to prefer attach_escrow, but the sequencing guidance is sufficient for basic selection among the session tools.
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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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.
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.
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.
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.