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Debt restructuring per year and age

debt_restructuring_by_age
Read-onlyIdempotent

Debt restructuring per year and age. Returns a list of records; pass next_cursor to get the next page. Fields: year (integer); age_group (varchar); applications (bigint).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNoYear (equals)
limitNoHow many rows to return
cursorNonext_cursor from the previous result, for the next page
year_gteNoYear (at least)
year_lteNoYear (at most)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and idempotentHint=true, so the safety profile is covered structurally. The description adds pagination behavior ('pass next_cursor to get the next page'), which is genuinely useful context beyond annotations. It does not disclose result ordering or handling of empty ranges, so it 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.

Conciseness4/5

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

Two short sentences with the resource stated first and pagination/fields following; no filler. Only minor cost is that the field list is a somewhat dense clause rather than clearly framed as output.

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, the description compensates by enumerating the return fields (year, age_group, applications) and explaining pagination, which is what an agent needs to consume results. The gap is the lack of any statement distinguishing it from the sibling 'debt_restructuring'.

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 description coverage is 100%, so every parameter (year, limit, cursor, year_gte, year_lte) is already documented in the schema, making 3 the baseline. The description lists returned fields (year, age_group, applications), which describes output rather than parameter meaning, so it adds nothing to parameter interpretation.

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

Purpose3/5

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

The description restates the title almost verbatim ('Debt restructuring per year and age') and adds the return fields, so an agent learns the data shape but not a distinct verb or scope. It does not differentiate from the sibling 'debt_restructuring', which presumably offers the same resource without the age dimension. Purpose is implied rather than specifically stated.

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 and no mention of alternatives, even though 'debt_restructuring' is the obvious sibling for a non-age-broken-down query. The only usage-adjacent sentence concerns pagination, not tool selection.

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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