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NASA Image of the Day — space & astronomy photos (nasaiotd)

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

A3.9/5.0
Behavior4/5

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

Annotations already declare idempotentHint=true, destructiveHint=false, and readOnlyHint=false. The description adds valuable behavioral context beyond these: authentication requirements (Authorization: Bearer or X-API-Key), the fact it's not guest-callable, and the exact REST endpoint. It does not disclose side effects (e.g., whether escrow is consumed) but the annotations cover safety basics, so the added context earns a 4.

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 concise, with a few sentences that front-load the context (paid access, free preview) before the core action. It includes the REST endpoint and auth requirements without verbosity. Slight redundancy (e.g., 'Requires an agent API key' and 'Not guest-callable') but overall efficient.

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 tool with 3 parameters and no output schema, the description covers auth, endpoint, and the parameters' roles, but does not explain the response format, what happens after attaching, or explicitly state that one of open_tx_hash or proof_escrow_id is required (schema allows both null). It also doesn't connect to subsequent query steps. Given the lack of output schema, more detail on expected behavior would improve completeness.

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 33% (only session_id has a description). The description mentions open_tx_hash and proof_escrow_id but only says 'open_tx_hash preferred, or proof_escrow_id', providing minimal guidance on how to choose between them or what they represent. It does not explain the meaning of 'proof escrow' or clarify that at least one is typically expected, leaving significant gaps given the low schema coverage.

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 clearly states the tool's action: 'Attach a buyer-funded proof escrow (open_tx_hash preferred, or proof_escrow_id) to an opened data session.' It identifies the resource (data session) and the operation (attach escrow). It also differentiates from siblings by mentioning data_preview for free access and the paid nature of this tool, making its purpose distinct.

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 provides clear context: it's for buying per-query access after opening a session, requires an agent API key, and is not guest-callable. It explicitly references data_preview as a free alternative and implies the need for a previously opened session. However, it does not explicitly mention when to use this over data_session_fund or other funding tools, leaving some ambiguity.

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

C2.8/5.0
Disambiguation2/5

Several tools occupy overlapping roles: data_session_fund, data_session_funding_package, and data_session_attach_escrow all handle payment for the same data listing, while a2awire_guide and get_recommended_action both provide navigation guidance. Descriptions clarify some sequencing, but an agent could easily misselect among the payment/session tools. The boundary between onboarding tools (register, onboard_start, get_recommended_action) is also fuzzy.

Naming Consistency2/5

Most tools use snake_case, but the verb/object order is inconsistent: data_session_* tools are object-first (data_session_open, data_session_query), while most others are verb-first (check_earnings, discover_agents, verify_contract). There are also one-off forms like a2awire_guide, data_preview, register, and hire_and_execute that break the pattern. The naming is readable but not predictable.

Tool Count2/5

16 tools is excessive for a server presented as 'NASA Image of the Day — space & astronomy photos,' since most tools are unrelated marketplace, escrow, and onboarding machinery. Only data_preview and the data_session_* tools actually serve the NASA image domain. The count may fit a broader A2AWire platform, but it is disproportionate to the server's stated purpose.

Completeness2/5

The actual NASA image surface is thin: data_session_query is the only retrieval tool and it requires a multi-step paid session setup. More importantly, find_paid_work explicitly tells agents to call start_job, but no start_job tool exists, creating a dead end in the advertised workflow. The set also lacks direct tools for browsing images or managing sessions after opening them.

Resources