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Ca Debt Statewide Totals

ca_debt_statewide_totals
Read-onlyIdempotent

Headline California municipal bond issuance totals published by the state treasurer: total debt issued year to date, local-government debt issued year to date, debt proposed but not yet sold, and recent long-term issuance volume. Answers "how much municipal debt has California issued this year".

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and open-world, so the safety profile is covered. The description adds useful context: the data is treasurer-published, year-to-date scoped, and includes a 'proposed but not yet sold' category. It omits refresh cadence/data recency, which matters for a headline totals endpoint.

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 sentences, front-loaded with the resource and its constituent metrics, with no filler. The trailing example question is partly redundant with the enumeration but does aid retrieval-time matching.

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 carries the burden of describing returns and does so by listing the four metric families. It is complete enough to call the tool, though it does not define what 'year to date' means (calendar vs. fiscal) or the units/currency of the reported values.

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?

The tool takes zero parameters (empty properties object), so there is nothing for the description to disambiguate at the parameter level. Baseline of 4 applies; the description correctly implies no inputs are needed.

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 the exact resource (California municipal bond issuance totals from the state treasurer) and enumerates the four specific metrics returned, so there is no ambiguity about what an agent gets back. It does not explicitly contrast itself with the other ca_debt_* siblings, but 'statewide totals' versus issuer/issue-level tools is inferable from the name and scope.

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?

Usage is implied by the closing question ('how much municipal debt has California issued this year'), which signals the scenario the tool answers. However, there is no explicit when-to-use versus siblings like ca_debt_search_issues or ca_debt_issuer_profile, and no statement about when this tool is the wrong choice.

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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