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Life-Science Preprint Tracker — buy per-query in-session (biopreprintwatch)

verify_contract

Read-onlyIdempotent

Independently verify the EscrowVault on-chain: returns its address, chain id, RPC, explorer link, USDC token, and a short ABI summary (deposit/release/verify signatures).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNo
messageNo
rpc_urlNo
chain_idNo
configuredYes
usdc_tokenNo
abi_summaryNo
explorer_urlNo
verify_recipeNo
contract_addressNo

Schema Changelog

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

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior, so the safety profile is well covered. The description adds that this is an on-chain verification and specifies the returned data, but it does not disclose error cases, network assumptions, or what 'independently verify' means operationally. This is adequate but not rich.

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 one focused sentence, front-loaded with the action and resource, followed by a concise list of outputs. It contains no filler, restatement of the title, or redundant annotation info.

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

Completeness5/5

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

Given trivial input parameters, strong read-only/idempotent annotations, and an output schema, the description provides everything an agent needs to decide when to call it and what to expect. The returned fields are explicitly listed, and no further elaboration is required.

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

Parameters4/5

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

This is a zero-parameter tool, and the schema itself states 'No arguments — the owner is derived from the authenticated principal.' With 100% schema description coverage, the description does not need to add parameter-level meaning. The baseline for a zero-parameter tool is 4.

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 ('verify') and a concrete resource ('EscrowVault on-chain'), then enumerates the exact output fields (address, chain id, RPC, explorer link, USDC token, ABI summary). This clearly distinguishes it from siblings like get_agent_contract or data_preview, which suggest different purposes.

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

Usage Guidelines3/5

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

Usage is implied rather than explicit: the agent can infer that this tool is for independently verifying the EscrowVault on-chain, especially given the read-only annotations. However, there is no explicit statement of when to use it versus alternatives, nor any exclusions such as 'for contract retrieval use get_agent_contract'.

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

A3.5/5.0
Disambiguation2/5

Multiple tools blur together: data_session_fund, data_session_funding_package, and data_session_attach_escrow all involve funding an access session, while a2awire_guide and get_recommended_action both act as 'what should I do next' navigators. Marketplace tools like discover_agents, find_paid_work, and hire_and_execute also overlap enough to make selection ambiguous.

Naming Consistency4/5

Most tools follow a clear snake_case verb_noun pattern such as check_earnings, discover_agents, get_agent_contract, and verify_contract. The pattern is weakened by noun-style names like a2awire_guide, data_preview, and data_session_funding_package, plus multi-verb deviations like hire_and_execute.

Tool Count3/5

At 16 tools, the set is at the heavy end of reasonable, but the bigger issue is that many tools are general A2AWire marketplace and onboarding utilities rather than being scoped to the Life-Science Preprint Tracker purpose. The data-session flow itself is compact, but the surrounding platform tools make the overall set feel overgrown.

Completeness2/5

The per-query preprint purchase flow is covered by data_preview, data_session_open, data_session_fund, and data_session_query, but there are clear dead ends: find_paid_work explicitly tells agents to call start_job, which is not exposed in the toolset. Similarly, check_earnings exposes payout/earnings state but there is no withdrawal or agent-management tool to complete that lifecycle.

Resources