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Pensiata - Bulgarian Pension Fund Analytics

rank_benchmarks

Rank benchmark assets by metric and period for market-context comparison.

Data freshness: rankings reflect latest ingested benchmark observations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
orderNodesc
metricYes
offsetNo
periodYes
windowNo
frequencyNodaily
benchmark_slugNo
risk_free_rateNo
include_metricsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The description adds a useful data freshness caveat ('rankings reflect latest ingested benchmark observations'), which gives insight into data update behavior. However, with no annotations, it does not disclose whether this is read-only, any authentication requirements, or potential side effects, leaving gaps in transparency.

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?

The description is concise, with two clear sentences. The main purpose is front-loaded, and the data freshness note is a useful secondary detail. It is not verbose, though it could benefit from a structured parameter overview given the tool's complexity.

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

Completeness2/5

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

For a tool with 10 parameters and no annotations, the description is insufficient. It does not clarify what 'benchmark assets' are, what valid metrics are, or how 'period' should be formatted. While an output schema exists, the input semantics and tool behavior are under-specified.

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

Parameters2/5

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

The description mentions only 'metric' and 'period' by name, mapping to the two required parameters. With 10 parameters total and 0% schema coverage, it fails to explain the meaning of limit, order, offset, window, frequency, benchmark_slug, risk_free_rate, and include_metrics, providing minimal semantic value.

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 clearly states the tool ranks benchmark assets by metric and period for market-context comparison. It uses a specific verb (rank) and resource (benchmark assets), distinguishing it from pension-specific ranking tools, though a generic sibling 'rank' exists.

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?

No explicit guidance is given on when to use this tool vs alternatives like 'rank_bulgarian_pension_benchmarks_by_metric' or 'rank'. The purpose phrase 'for market-context comparison' implies a context but does not state exclusions or preferred scenarios.

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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