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perplexity-mcp-server

by thierrysays

Perplexity Market Signals

perplexity_market_signals
Read-only

Find dated market signals for a professional profile and region. Get structured lists of M&A, funding rounds, executive appointments, and restructurings—or an empty list confirming nothing reliable.

Instructions

Find recent, dated market signals (M&A, funding rounds, executive appointments, restructurings, etc.) relevant to a given professional profile and region, as a structured list.

Unlike a free-text Sonar query, this tool constrains Perplexity's response to a JSON schema server-side, so the result is a real array of discrete signals — not markdown you have to re-parse. It returns an empty list rather than fabricated signals when nothing dated and reliable is found; that empty list is itself a meaningful, actionable result (it means the sweep ran and found nothing this period), not a failure.

Args:

  • profile (string): Target professional profile, e.g. "CTO groupe / VP Technology / Chief Transformation Officer / Group CIO".

  • regions (string[], default ["France","Europe","Luxembourg"]): geographic scope.

  • lookback_days (number, 1-30, default 7): how far back to search.

  • signal_types (string[], default M&A/levée de fonds/nomination/restructuration): categories.

  • language ('fr'|'en'): default 'fr'.

  • response_format ('markdown'|'json'): default 'markdown'.

Returns: Markdown: one numbered section per signal (title, type, date, source, summary), or an explicit "no signal found" statement if the array is empty. JSON: { "signals": [{title,type,date,source_url,summary}], "count": number, "lookback_days": number, "regions": string[] }

Examples:

  • Use when: weekly sector-wide sweep independent of any specific tracked company

  • Don't use when: you already know the company and want its own news -> use perplexity_company_news instead.

Error Handling:

  • Returns "Error: ... Invalid Perplexity API key" if PERPLEXITY_API_KEY is missing/invalid (401).

  • Returns "Error: ... rate limit exceeded" if too many requests (429).

  • If Perplexity returns non-JSON content despite the schema constraint, returns "Error: could not parse signals JSON" with the raw answer included so nothing is silently lost.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profileYesThe professional profile signals should be relevant to, e.g. 'CTO groupe / VP Technology / Chief Transformation Officer / Group CIO'.
regionsNoGeographic scope for signals.
languageNoLanguage of the synthesized answer.fr
signal_typesNoCategories of signal to look for.
lookback_daysNoHow far back to look for signals, in days (default 7 = 'this week').
response_formatNoOutput format: 'markdown' for human-readable, 'json' for machine-readable.markdown
Behavior5/5

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

Annotations already mark readOnlyHInt and non-destructive, and the description adds meaningful behavior beyond that: it returns an empty list rather than fabricated signals, treating that empty result as a valid sweep outcome. It also discloses exact error behaviors for 401, 429, and per-answer parsing failures while preserving raw content, which is highly transparent.

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?

The description is well-structured with Args, Returns, Examples, and Error Handling sections. The core purpose and sibling differentiation are front-loaded, and each section contributes actionable information without filler.

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

Completeness5/5

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

There is no output schema, so the description correctly takes responsibility for explaining both Markdown and JSON return shapes. It also covers error handling, empty-result semantics, and representative use cases, giving an agent everything needed to invoke and interpret the tool correctly.

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 100% and each parameter already has a description, so the baseline is 3. The description adds value by specifying the exact Markdown and JSON return structures tied to response_format, and by giving concrete examples for profile, signal_types, and lookback_days. This is a modest but genuine increment over 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?

The description opens with a specific verb and resource: 'Find recent, dated market signals ... relevant to a given professional profile and region, as a structured list.' It lists concrete signal categories and explicitly contrasts itself with a free-text Sonar query and with the sibling tool perplexity_company_news, so an agent can distinguish it without opening the schema.

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

Usage Guidelines5/5

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

It provides explicit 'Use when' and 'Don't use when' guidance: use for 'weekly sector-wide sweep independent of any specific tracked company' and avoid when you want a specific company's news, routing to perplexity_company_news. This leaves no ambiguity about selection versus the sibling.

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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