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get_monthly_reports

The agent's closed books: one report per calendar month with fees claimed, cycles run, real-world assets distributed, value claimed by holders, decisions frozen and stamped, and its own settled earnings. Each month is committed on-chain via a Memo carrying the sha256 of the stored payload, so the numbers cannot be edited after the fact. A closed book reports the past and promises nothing.

Input Schema

NameRequiredDescriptionDefault
monthsNoHow many recent months to return (default 12).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does add genuinely useful behavior beyond structured data: each month is committed on-chain via a Memo with the sha256 of the stored payload, making figures tamper-evident after the fact. However, it says nothing about auth requirements, pagination, ordering, or how the returned payload is shaped.

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

Conciseness3/5

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

The resource is front-loaded, which is good, but the prose is metaphor-heavy ('closed books', 'stamped', 'promises nothing') and the closing sentence is rhetorical rather than operational. Some of it earns its place by conveying tamper-evidence; the rest is decorative for an agent deciding whether to call the tool.

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?

With no output schema and no annotations, the description partly compensates by enumerating the fields each report contains and explaining the on-chain verification mechanism. It is fairly complete for a one-parameter read tool, though it omits return ordering, formatting, and the effect of the `months` argument.

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 100% and the single `months` parameter is fully documented in the schema with range and default. The description adds no syntax, default, or semantics for it. Baseline 3 applies when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource (one report per calendar month) and enumerates its contents: fees claimed, cycles run, RWA distributions, holder value claims, decisions, and earnings. An agent can distinguish this from siblings like get_daily_briefing or get_recent_cycles. It never explicitly contrasts with those siblings, but the content is distinct enough to be identifiable.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no named alternatives among the many sibling read tools. The only routing hint is the immutability note, which describes trust properties rather than selection criteria. The agent is left to infer applicability.

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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