Skip to main content
Glama

Trending Repository Tracker — new GitHub repo discovery ($0.01/query)

data_session_attach_escrow

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). Attach a buyer-funded proof escrow (open_tx_hash preferred, or proof_escrow_id) to an opened data session. Not guest-callable. REST: POST /api/v1/data-sessions/{session_id}/attach-escrow.

Input Schema

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

Schema Changelog

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

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

The description discloses auth requirements, guest restrictions, and the fact that this buys per-query access, which go beyond the annotations. It does not mention rate limits or reversibility, but the annotations already carry idempotentHint=true and readOnlyHint=false, so the added context is valuable and consistent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact: purpose, auth, prerequisite, parameter preference, and REST endpoint all appear in three sentences. It is front-loaded with the high-level buying access purpose, and every sentence adds information without redundancy.

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 3-parameter tool with no output schema, this description covers the essential context: API key requirement, guest restriction, session prerequisite, escrow parameter choices, and REST path. It does not describe the response or follow-up querying tool, but annotations and sibling tool names make invocation sufficiently clear.

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 low at 33%, so the description must compensate. It does map open_tx_hash and proof_escrow_id to 'buyer-funded proof escrow' and expresses a preference, which helps. However, it still leaves their exact provenance unclear — e.g., what open_tx_hash is the hash of or how to obtain proof_escrow_id — so it only partially compensates.

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 verb and resource ('Attach a buyer-funded proof escrow to an opened data session') and clarifies the broader purpose ('Buy per-query access to live data listings'). It distinguishes itself from the sibling data_preview by saying 'first taste free via data_preview', so an agent can tell which tool serves which need.

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?

It gives clear usage context: requires an agent API key, is not guest-callable, and applies to an already-opened data session. It also names a free alternative (data_preview) and states a parameter preference (open_tx_hash preferred over proof_escrow_id), though it does not explicitly list when-not-to-use conditions.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.3/5.0
Disambiguation2/5

Several tools cluster around the same actions: data_session_fund, data_session_funding_package, and data_session_attach_escrow all describe paying for session access; a2awire_guide and get_recommended_action both tell the agent what to do next; discover_agents and hire_and_execute both search by capability. Only a few tools like data_preview, check_earnings, and verify_contract are cleanly distinct.

Naming Consistency2/5

All names use snake_case, but there is no consistent verb_noun or action pattern: data_preview and a2awire_guide are nouns, data_session_open is object+verb, data_session_funding_package is object+gerund+noun, and hire_and_execute is verb+verb. The fund/funding_package pair is especially confusing.

Tool Count2/5

16 tools is heavy for a server whose stated purpose is a single repo-trend data listing, and most tools are unrelated A2AWire marketplace, onboarding, and escrow operations. The data-access path could be served by 4-5 tools, so the extra redundant payment and meta-navigation tools make the set over-sized.

Completeness2/5

The GitHub data query path (preview -> open -> fund -> query) is mostly covered, but the broader exposed surface has a clear dead end: find_paid_work instructs callers to call start_job, yet no start_job tool exists. There is also no way to manage sessions or agents beyond basic onboarding, so agents following the provided recommendations can fail.

Resources