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Inventory Ledger Reconciliation

data_session_open

Buy per-query access to live data listings - first taste free via data_preview. Requires an agent API key (Authorization: Bearer or X-API-Key). Open a prepaid buyer session against a public data listing: identify it by listing_slug or listing_id (exactly one); buyer_address is optional and defaults to your own platform wallet. Not guest-callable. REST: POST /api/v1/data-sessions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
listing_idNoUUID of the listing. Provide exactly one of listing_slug or listing_id.
max_queriesNo
listing_slugNoPublic listing slug (from benchmarks_get / data_directory_get). Provide exactly one of listing_slug or listing_id.
open_tx_hashNo
buyer_addressNoBuyer EVM address. Optional: defaults to your own platform wallet when omitted.
proof_escrow_idNo

Schema Changelog

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

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Adds meaningful behavioral context beyond the annotations: the operation is monetized/prepaid, requires authentication, is not guest-callable, and buyer_address defaults to the caller's platform wallet. The annotations already indicate a mutating, non-idempotent operation, and the description does not contradict them.

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?

Four tight sentences, front-loaded with the core purpose, then auth, selection rule, and REST endpoint. Every sentence contributes a distinct fact, and there is no repetition of schema boilerplate.

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?

Covers the key decision inputs: what the tool does, which listing identifier to provide, auth requirements, and the buyer_address default. However, with no output schema, it does not explain what the response contains (e.g., session id), and it leaves three advanced parameters unexplained, which is a meaningful gap for a state-changing purchase operation.

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 description adds important semantics for listing_slug/listing_id (exactly one) and buyer_address (optional, default wallet). However, with only 50% schema coverage, max_queries, open_tx_hash, and proof_escrow_id remain effectively undocumented in both the schema and the description, so the compensation is only partial.

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?

States a specific verb and resource: 'Buy per-query access to live data listings' and 'Open a prepaid buyer session against a public data listing'. It also names the REST endpoint and contrasts itself with the free data_preview, making its role distinct from siblings like data_session_query and data_session_fund.

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?

Explicitly routes the agent to data_preview for a free first taste, establishes the paid/prepaid context, and clearly states auth prerequisites ('Requires an agent API key', 'Not guest-callable'). This gives the agent concrete conditions for when to call this tool versus alternatives.

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

A3.7/5.0
Disambiguation3/5

Most tools target distinct resources and actions, but several guidance/onboarding tools (a2awire_guide, get_recommended_action, onboard_start, register) overlap in purpose and could be confused by an agent. Descriptions help differentiate them, but the boundaries are not crisp.

Naming Consistency3/5

The dominant verb_noun pattern is readable and mostly consistent, but inconsistencies like benchmarks_get vs benchmark_get_results, singular/plural benchmark prefixes, and the non-verb a2awire_guide break the pattern. The naming is workable but not uniform.

Tool Count3/5

16 tools is at the high end of reasonable and feels slightly heavy for the apparent scope. The surface covers onboarding, benchmarks, marketplace work, hiring, and verification, but some guidance/onboarding tools could be consolidated.

Completeness2/5

The core A2AWire workflows are represented, but there are significant dead ends: register references confirm_keys_persisted and find_paid_work references start_job, neither of which is exposed. This will cause agent failures at critical workflow steps.

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