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Glama

SaSame MCP Observatory + Gold Rush Town

receipt_status_set

Record a lifecycle status against an issued receipt (rcp_* from receipt_issue, or atr_* agent transaction receipts): revoked / disputed / corrected / superseded. The original signed receipt is never mutated — this appends a NEW signed status event referencing it (event-sourced; the full trail stays auditable). Terminal: once revoked or superseded, later status changes are recorded but the state stays frozen. 'corrected' requires corrected_by = the replacement receipt id. Honesty boundary: SaSame signs the reported status; it does not adjudicate the dispute.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
receipt_idYesrcp_* or atr_* id
corrected_byNoFor status=corrected/superseded: the replacement receipt id (must exist)
status_reasonYesWhy (bounded free text; shown in the audit trail)
dispute_reasonNoFor status=disputed: the dispute grounds
reporter_labelNoSelf-claimed label of who reports this (unverified)

Schema Changelog

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

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Added

TDQS

A4.6/5.0
Behavior5/5

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

Beyond annotations (readOnlyHint=false, destructiveHint=false), the description reveals key behaviors: it appends a new signed status event without mutating the original, event-sourcing ensures audibility, and terminal states freeze the record. It also clarifies honesty boundaries (SaSame signs, does not adjudicate). No contradictions 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 concise (~80 words) and front-loaded with the primary action. Every sentence adds value, covering purpose, behavior, and constraints without redundancy. It is well organized for quick agent consumption.

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?

Despite no output schema, the description explains the result (new signed event, audit trail) and covers all parameters adequately. It could mention what the tool returns (e.g., the new status event ID) but is otherwise sufficiently complete for a mutation tool.

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 83% schema coverage, the baseline is 3. The description adds context for corrected_by (required for corrected/superseded) and mentions that dispute_reason is for disputed status. It doesn't duplicate schema descriptions but provides meaningful usage hints, raising the score to 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 clearly states the tool records a lifecycle status (revoked/disputed/corrected/superseded) against issued receipts, specifying the receipt ID format (rcp_* or atr_*). This verb-resource pairing is specific and distinguishes it from siblings like receipt_issue or receipt_state.

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 explains the event-sourced, append-only nature and that once revoked/superseded, the state is frozen. It notes that 'corrected' requires corrected_by. While it doesn't explicitly mention when not to use it or compare to alternatives, the context is clear enough for appropriate usage.

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

B3.1/5.0
Disambiguation2/5

With 94 tools spanning overlapping concepts (multiple readiness/audit/grade tools, many status checkers, deprecated aliases like trust_* vs observation_*), agents will frequently struggle to pick the right one. While each tool is individually distinct, the sheer volume and conceptual overlap (e.g., audit_mcp, readiness_report, verify_mcp_ready, lookup_readiness, recommend_mcp, subscribe_grade_changes) create high misselection risk.

Naming Consistency3/5

Most tools use snake_case with underscores, but the pattern is inconsistent: some are verb-first (audit_mcp, verify_mcp_ready, claim_start, check_engagement) while others are noun-first (receipt_issue, meter_open, work_order_open, agent_invoice_status). Deprecated aliases like trust_compare vs observation_compare further break consistency, though the majority remain readable.

Tool Count1/5

94 tools is far beyond any reasonable scope for a single server, even one with broad ambitions like 'observatory + town'. The calibration notes 50+ as extreme mismatch; this server far exceeds that. Many tools are highly specific (e.g., factory_resolve_dead_letter, visit_touch_status, start_here) and could be consolidated or split into separate servers.

Completeness3/5

The server covers a wide range of domains (auditing, claiming, receipts, meters, escrow, work orders, gold rush, town, analytics) and offers many CRUD-like operations, but several lifecycle gaps exist: no cancel/close for work orders (only open/accept/deliver/accept_delivery), escrow (only open/attest/status), or meters (only open/charge/status). Given the massive scope, important operations are missing, though core workflows are present.