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Brent Burgess

Read one of the site’s data tables

query_dataset
Read-onlyIdempotent

The rows of one table behind this site’s data page, oldest first, with each column’s type and meaning. Filter by date with from and to (YYYY-MM-DD), which apply to the table’s date column; if more rows match than the limit, the most recent are returned. Daily and weekly tables keep about a year.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoThe latest date to include
fromNoThe earliest date to include
limitNoHow many rows to return at most, 1 to 500
datasetYesWhich table, as get_site_stats lists them

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesWhere /data shows it
rowsYesThe rows, oldest first
grainYesOne row per
notesYesWhat /data says about these numbers, word for word
titleYesWhat it holds
totalYesHow many rows matched
columnsYesThe columns, in order
datasetYesThe table
returnedYesHow many rows were returned
rows_fromYesThe first date kept; older rows are left out of the server. Null when every row is kept.
truncatedYesWhether more rows matched than were returned
date_columnYesThe column from and to apply to, or null if the table has none
descriptionYesWhat a row is
data_throughYesThe last day the data covers

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 readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered without the description. The description still adds genuine behavioral context: oldest-first ordering, that truncation returns the most recent rows, and that daily/weekly tables retain about a year of history. That is meaningful extra disclosure, though permissions and pagination beyond the single limit are unaddressed.

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

Conciseness5/5

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

Three tight sentences, each carrying distinct information: what is returned, how filtering and truncation work, and the retention bound. The scoping detail is front-loaded and there is no filler.

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?

An output schema exists, so return-value explanation is unnecessary and the description correctly avoids it. For a 4-param, 12-enum read tool with full annotation coverage, the description supplies the behavioral and date-semantics context an agent needs. The only omission is explicit sibling routing, which keeps it off a 5.

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 the baseline is 3 even with no added param detail. The description does add one real semantic point the schema lacks: from and to apply to the table's date column, not an arbitrary one. It otherwise restates format information already present in the schema pattern and limit constraints.

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 (the rows of one table behind the site's data page) and its shape (columns with type and meaning), which clearly distinguishes it from list/search-style siblings. It never explicitly routes the agent away from siblings like fetch, search, or get_site_stats, so it falls short of a 5.

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 only implied: the agent can infer this is the tool for reading raw table rows with date filters. There is no statement of when to use this versus get_site_stats, fetch, or search, and no prerequisites or exclusions are given. The schema's reference to get_site_stats hints at a relationship but the description itself offers no routing guidance.

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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