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

The annotations are all false and provide no behavioral signal, so the description carries the full burden. It discloses meaningful traits beyond the schema: no SQL/code execution, bounded results entering context, the need to check complete/next_start, and exact decimal aggregation. This is substantive and directly useful for an agent.

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

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

Three short sentences with no filler; the primary capability is front-loaded, and each sentence adds a distinct piece of information: function, boundedness, and pagination. This is appropriately sized for the tool's complexity.

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

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

For a tool with a nested plan, no output schema, and multiple sibling tools, the description covers the core operation modes, bounded-result behavior, and pagination signal. It omits response shape, error cases, and how output_budget_bytes interacts with limit/start, so it is adequate but not fully complete.

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

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

Schema description coverage is 0%, but the description's verbs map reasonably onto plan fields: 'filter/project' to filters/select/group_by, 'exact decimal aggregation' to aggregate, and 'bounded result' to limit/output_budget_bytes. It still leaves artifact_id and several nested plan fields to be inferred from the schema, making this only minimally viable.

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

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

The description uses specific verbs and resources: 'filter/project JSON records or CSV' and 'perform exact decimal aggregation.' This clearly conveys what the tool does and distinguishes it as a query/transform operation. It does not explicitly contrast itself with sibling tools like mithrandir_read or mithrandir_search, which keeps it from a 5.

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

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

The phrase 'Only a bounded result enters context' tells the agent this tool is appropriate when a controlled, limited result set is desired rather than a full dataset. 'Check complete/next_start' gives actionable post-request guidance. However, it does not explicitly state when to prefer this over alternatives or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.