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get_history
Read-only

Daily time series for ONE entity from the append-only archive (Starter: last 30 days, Pro: full archive). Max 90-day window per call (from..to); up to 90 rows per page, use nextCursor as cursor for the next page. No whole-feed dumps. Fair use: 200 (Starter) / 1,000 (Pro) history+trends calls per day per key; keys scanning many distinct entities/dates very fast are throttled for 1 hour (429). Bulk/full-archive access: data licence from $499/mo, hello@agentdataco.com. Requires API key.

Input Schema

NameRequiredDescriptionDefault
toNoYYYY-MM-DD (default today); max 90 days after from
feedYes
fromNoYYYY-MM-DD (default: to minus 30 days)
limitNo
cursorNonextCursor from the previous page
entityYesowner/repo, MCP server name, OpenRouter model id, pricing page URL, "model:<hf id>", HN item id

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only declare read-only and closed-world; the description adds substantial behavioral context beyond them: append-only archive, Starter/Pro tier limits, 90-day window cap, per-page row limit, daily fair-use call quotas, 1-hour throttling with 429, bulk licensing, and API-key requirement.

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?

Front-loads purpose, then presents constraints (window, pagination, rate limits, licensing, auth) in a compact block. Every sentence adds operative information for correct invocation; no filler or repetition.

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?

For a read-only tool with no output schema, the definition covers access scope, pagination, rate limits, tiering, licensing, and auth. It lacks explicit return-field detail and does not route to close siblings like lookup_entity, so it is strong but not perfect.

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?

Schema coverage is 67%, so schema already documents most parameter details. The description adds meaningful constraints beyond the schema: 'ONE entity' (singular scope), explicit 90-day from/to window, cursor pagination flow, and an effective page-row cap; feed enum semantics remain only in the schema.

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

Purpose5/5

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

States a specific verb and resource: 'Daily time series for ONE entity from the append-only archive.' The 'ONE entity' and 'No whole-feed dumps' wording cleanly distinguishes it from whole-feed siblings like get_trends or get_momentum_leaderboard.

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

Usage Guidelines4/5

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

Gives clear when-to-use constraints (max 90-day window, pagination via cursor, no whole-feed dumps, tier caps) and when-not (bulk access requires separate licence). Does not explicitly name an alternative sibling tool to use instead, so falls short of a 5.

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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