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Ipos Calendar

ipos_calendar
Read-onlyIdempotent

IPO calendar (paid).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
fromNo

TDQS

C2.1/5.0
Behavior3/5

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

Annotations already declare the tool as read-only, idempotent, and non-destructive, which covers the safety profile. The description adds the 'paid' qualifier, indicating a potential access or cost restriction not captured by the annotations. However, it does not elaborate on what 'paid' means or what the calendar returns, so the disclosure is minimal.

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

Conciseness2/5

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

The description is under-specified rather than concise. It consists of a single phrase that does not earn its place because it adds little beyond the tool name. A concise description would convey useful information in few words, but this one omits essential details about parameters, output, and usage.

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 calendar tool with no output schema and two undescribed parameters, the description should explain the return format, date filtering, and any restrictions. The description only says 'IPO calendar (paid),' which does not clarify what data is returned, how to specify a date range, or how this differs from earnings_calendar and economic_calendar. The lack of output schema makes this a significant gap.

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

Parameters1/5

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

The schema has two string parameters ('to' and 'from') with no descriptions, resulting in 0% schema coverage. The description does not mention these parameters at all, failing to compensate for the lack of schema documentation. The only hint is the example in the schema, which is not referenced or expanded in the description.

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

Purpose2/5

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

The description 'IPO calendar (paid)' is essentially a tautology that restates the tool's name and title. It identifies the domain (IPOs) but does not specify a verb or action, leaving the agent to infer that it lists or shows IPO events. It differentiates only slightly from sibling calendars like earnings_calendar and economic_calendar by naming IPOs.

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 guidance is provided on when to use this tool versus alternatives. The description gives no context about the date range parameters, typical use cases, or exclusions (e.g., 'use this for upcoming IPOs'). It also does not mention any alternatives, leaving the agent without a basis for tool selection.

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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TDQS

C2.5/5.0
Disambiguation2/5

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.

Naming Consistency3/5

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.

Tool Count2/5

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.

Completeness2/5

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.