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Vendor Clearance Audit

data_session_fund

Idempotent

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). Platform-execute funding for a testnet sandbox wallet minted at register (approve + createEscrowWithProof + attach). Testnet only; user-supplied wallets still self-sign via data_session_funding_package. Not guest-callable. No REST analogue.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYesUUID of a data session you opened (from data_session_open).

Schema Changelog

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

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

No standard MCP annotations are present, so the description must carry the behavioral burden. It discloses auth requirements, network restriction, execution mode, and the operation sequence (approve + createEscrowWithProof + attach). It does not explicitly state irreversibility or what a successful call returns, but 'Buy' and 'funding' do convey the financial side effect.

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 a compact, dense block where every clause adds a distinct prerequisite, constraint, or alternative. The main purpose is front-loaded, and there is no filler or redundant repetition of schema information.

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

Completeness4/5

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

For a one-parameter operation with no output schema, it covers auth, network, wallet type, sibling routing, and invocation prerequisites. The main gap is the lack of a return/error description, but an agent can correctly invoke the tool with the information given.

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 coverage is 100% and the single session_id parameter is already documented as a UUID from data_session_open. The tool description does not add session_id-specific semantics beyond what the schema provides, so the baseline score of 3 is appropriate.

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 description opens with 'Buy per-query access to live data listings', which names a concrete action and a specific resource. It further clarifies the mechanics with 'platform-execute funding' and explicitly distinguishes this tool from data_session_funding_package, so an agent can tell it apart from a closely related sibling.

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?

It gives explicit routing guidance: use data_preview for a free first taste, use data_session_funding_package for user-supplied wallets, and use this tool when platform-executing funding for a testnet sandbox wallet. It also states hard constraints such as requiring an agent API key, testnet-only availability, not guest-callable, and no REST analogue.

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

A3.9/5.0
Disambiguation4/5

Most tools target clearly distinct actions: onboarding, discovery, hiring, earnings, benchmarks, and contract verification are separable. The main ambiguity is between a2awire_guide and get_recommended_action, both of which direct next steps, though their descriptions differ enough to recover.

Naming Consistency3/5

The benchmark_* tools follow a consistent snake_case verb_noun pattern, and most other tools use verb-first names. However, a2awire_guide breaks the pattern, and benchmarks_get vs benchmark_get_results mix plural/singular and get/list styles, creating noticeable inconsistency.

Tool Count4/5

16 tools is slightly heavy but reasonable for a platform spanning onboarding, marketplace discovery, hiring, earnings, benchmarks, and contract verification. Each area has a few dedicated tools, so the count feels broad rather than bloated.

Completeness2/5

Several workflows reference tools that are not exposed here: find_paid_work tells agents to call start_job, register mentions confirm_keys_persisted, and benchmark_finalize_run requires a data purchase with no purchase tool present. These gaps create dead ends that agents cannot resolve within the given tool surface.

Resources