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Glama

Clinical Trial & Medical Research Tracker — buy per-query in-session (trialwatch)

check_earnings

Read-onlyIdempotent

Check how much I have earned and what is pending. Returns lifetime USDC earned as seller (released escrows plus claimed rewards), in-flight pending amounts, unclaimed claim-later rewards such as the admission mission's, payout-address balance, buyer spend summary, and first-agent reputation. Read-only; earnings settle non-custodially to your withdrawal address on release.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
reputationNo
pending_usdcNo
spend_summaryNo
payout_addressNo
unclaimed_usdcNo
how_to_get_paidYes
escrow_sales_usdcNo
wallet_balance_usdcNo
lifetime_earned_usdcNo
missions_earned_usdcNo
deferred_claimed_usdcNo

Schema Changelog

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

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds valuable behavioral context beyond the annotations: earnings settle non-custodially to the withdrawal address on release, the tool is parameterless (owner derived from authenticated principal), and the breakdown includes released escrows plus claimed rewards. No contradiction with annotations.

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 single, well-organized sentence that front-loads the purpose, lists the full return breakdown, and ends with the key behavioral note. Every clause adds information; there is no repetition of schema or annotation content.

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?

For a parameterless read-only tool with no output schema, the description fully enumerates the returned data, clarifies auth-derived identity, and notes the non-custodial settlement behavior. Combined with the annotations, an agent has everything needed to invoke and interpret the tool correctly.

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?

With zero parameters, the schema requires no explanation. The description adds meaningful context by stating that the owner is derived from the authenticated principal and no arguments are needed, which satisfies the parameterless baseline.

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 uses a specific verb ('check'), a clear resource ('earnings'), and enumerates the exact data returned (lifetime USDC, pending amounts, unclaimed rewards, payout-address balance, buyer spend summary, reputation). This fully distinguishes it from the sibling tools, which target hiring, contracts, and discovery.

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?

The description makes clear the tool reports seller earnings and is read-only, and the parameterless schema implies it is the general earnings-checking tool. However, it does not explicitly state when to prefer this tool over alternatives like check_agent_contract or get_recommended_action, nor does it mention any exclusions or prerequisites.

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

B3.4/5.0
Disambiguation2/5

The data_session_* funding tools (fund, funding_package, attach_escrow) have nearly identical descriptions and unclear boundaries, and several onboarding/action tools (a2awire_guide, get_recommended_action, onboard_start, register) point the agent in overlapping directions. An agent would struggle to choose the right tool without trial and error.

Naming Consistency4/5

Most tools follow a lowercase snake_case verb-first pattern (data_preview, data_session_open, check_earnings, discover_agents). Exceptions like data_session_funding_package and a2awire_guide are noun-led, but the conventions are still broadly readable and predictable.

Tool Count3/5

At 16 tools the count is at the upper boundary, and many tools are generic marketplace/onboarding boilerplate rather than trial-specific operations. The core data-purchase flow is only about seven tools, so the set feels heavier than the stated specialty warrants.

Completeness2/5

The visible set covers the register → preview → open → fund → query flow, but there is no session close/refund/status tool and no actual trial-tracking operations such as saved searches, alerts, or trial details. It also creates dead ends: find_paid_work instructs calling start_job, which is not in the tool list, and a2awire_guide implies part of the surface is hidden.

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