Intraday
intradayIntraday OHLC (paid).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes | ||
| interval | Yes |
intradayIntraday OHLC (paid).
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes | ||
| interval | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint: false, covering the safety profile. The description adds the 'paid' context, which is a useful behavioral caveat. However, it does not elaborate on subscription requirements, rate limits, or return format, so the added transparency is limited.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, consisting of only four words: 'Intraday OHLC (paid)'. It is front-loaded and contains no wasted words. However, it borders on under-specification, as it omits important operational details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple two-parameter tool with annotations and schema examples, the description provides a brief but somewhat adequate overview: intraday OHLC data, paid. However, it does not specify valid interval values or what 'paid' entails, so an agent might still be uncertain about correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has zero description coverage for parameters, and the description does not explain what 'symbol' or 'interval' mean. The schema examples provide some hints, but the description itself adds no parameter meaning. This leaves the agent to infer from names and examples, which is insufficient.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Intraday OHLC (paid)' clearly indicates the tool returns intraday OHLC data, which is specific enough to distinguish it from sibling tools like historical_price or quote. However, it lacks an explicit verb like 'get' or 'retrieve', making it a noun phrase rather than a clear action statement.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives such as historical_price or quote. The only extra hint is that it is 'paid', which is a cost constraint rather than a usage guideline. There are no exclusions or alternative recommendations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Multiple tools overlap in purpose: quote/quote_short/historical_price/intraday for price data; balance_sheet/income_statement/cash_flow for financials; search_symbol/search_name/discover_tools for lookup; and a cluster of Pipeworx routers (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, validate_claim) with unclear boundaries. Agents will frequently select the wrong tool.
All tool names use consistent snake_case, but naming conventions vary widely: noun phrases (balance_sheet, entity_profile), bare verbs (forget, subscribe), verb+noun (compare_entities, resolve_entity), and adjective+noun (historical_price, recent_alerts). No single pattern dominates, making it harder to guess tool names.
55 tools is excessive for a server labeled 'Fmp'. The core financial data tools are perhaps 20-25, while the rest are unrelated: memory utilities, prediction market analyzers, web scraping, and meta-routing tools. This bloated set dilutes the server's purpose and burdens the agent with irrelevant options.
For the declared domain (FMP financials), the set covers the main statements but lacks tools like segment data, insider trades (listed as paid), or ownership details (also paid). Conversely, it includes many tools for prediction markets and general data retrieval that don't belong here, creating a mismatch between server name and actual capability.