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New MCP Server Directory (Agent Tools Index)

data_session_query

Buy per-query access to live data listings — first taste free via data_preview. Listing: New MCP Server Directory (Agent Tools Index) at 0.01 USDC per query (max 20 queries/session). Sequence: data_session_open → data_session_fund → data_session_query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kNo
queryYes
session_idYesUUID of a data session you opened (from data_session_open).
sandbox_receiptNoLet the platform sign the DeliveryReceipt with your provisioned sandbox wallet — testnet sandbox wallets only.
delivery_receiptNo

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already indicate this is a non-read-only, non-idempotent, non-destructive operation; the description adds valuable context on top: each call costs 0.01 USDC, is capped at 20 queries/session, and requires prior open+fund steps. Failure/refund behavior and receipt-signing side effects are not disclosed, but the costly-and-metered nature is clearly conveyed.

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?

Three tight sentences, each earning its place: the core action, the pricing/limits, and the required calling sequence. The most decision-relevant facts (paid, preview alternative, prerequisites) are front-loaded with zero 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 5-parameter tool with no output schema, the description covers the commercial model and prerequisite flow well, but leaves gaps: parameter semantics for k/delivery_receipt, what the response contains, and behavior on failed or unfunded queries. Adequate for the happy path, incomplete for a new agent that must invoke it correctly.

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

Parameters2/5

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

Schema description coverage is only 40%, so the tool description carries the burden of explaining the undocumented parameters (query, k, delivery_receipt). It does not: nothing explains what the query string should contain, what k controls (result count), or what delivery_receipt/sandbox_receipt mean functionally. The only parameter-related hint is the word 'query' in the name and sequence.

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 states a specific action ('Buy per-query access to live data listings') and is reinforced by the schema description 'Run a prepaid query against a funded data session.' It names the exact listing, price, and per-session limit, and explicitly distinguishes itself from the free data_preview sibling and the data_session_open/data_session_fund steps in the sequence.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear when-to-use context: use data_preview for the free first taste, then follow the explicit sequence data_session_open → data_session_fund → data_session_query. It does not exhaustively state when not to use the tool or name alternative tools for edge cases (e.g., unfunded session recovery), so it falls just short of a 5.

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

B3.2/5.0
Disambiguation2/5

Several data-session tools have unclear boundaries: data_session_fund, data_session_funding_package, and data_session_attach_escrow all describe different ways of funding or attaching payment, but an agent could easily pick the wrong one. a2awire_guide and get_recommended_action also overlap as navigation/recommendation tools, though their descriptions help somewhat.

Naming Consistency4/5

Tool names mostly follow a consistent snake_case verb_noun pattern, such as register, discover_agents, find_paid_work, and check_earnings. Minor deviations like a2awire_guide and data_preview are noun-led, but the overall convention is predictable and readable.

Tool Count3/5

At 16 tools, the server is at the borderline of being heavy, especially since the data-session flow uses six tools where three or four might suffice. The count is not chaotic, but the funding-related tools feel over-decomposed for the apparent scope.

Completeness2/5

The tool set covers onboarding, discovery, hiring, earnings, and data sessions, but find_paid_work explicitly instructs agents to 'call start_job with a job_id' and no start_job tool exists in the set. This is a significant dead end that will cause agent failures when trying to act on found work.

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