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get_market_signals

Read-onlyIdempotent

Get the Market Intelligence Feed — a unified stream of all NZX market events. Returns 13 signal types: insider trades, capital raises, dividends, earnings releases, AGM results, director changes, governance score changes, technical signals (golden/death cross, RSI extremes), credit rating changes, auditor changes, takeover/M&A activity, board events, and composite signals (multi-signal patterns like insider selling + earnings miss, director exodus, governance deterioration). Use this when asked "what happened on the NZX today/this week?", "any recent insider trades?", "golden crosses?", "credit rating changes?", "composite signals?", "market activity for AIR", or any question about recent NZX events.

Input Schema

NameRequiredDescriptionDefault
daysNoNumber of days to look back (default 180, use 7 for "this week", 1 for "today")
typeNoComma-separated signal types: insider_trade, capital_raise, dividend, earnings, agm_result, director_change, grs_change, technical_signal, credit_rating, audit_change, takeover, board_event, composite_signal
limitNoMax results (default 50)
sectorNoFilter by sector (e.g. "Energy", "Healthcare")
tickerNoFilter by company ticker (e.g. "AIR", "MEL")
significanceNoFilter by significance: high, medium, low

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool payload. Null when the call did not produce one — read meta.availability_status to find out why, and do not treat null as zero, empty or "none found".
metaYes
toolYesTool that produced this result.
schema_versionYesEnvelope contract version. Bumps only on a breaking shape change.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changed
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / days / minimum
      Added value: +1
    • changedInput schema / properties / days / type
      Previous value: -"number"New value: +"integer"
    • addedInput schema / properties / limit / minimum
      Added value: +1
    • changedInput schema / properties / limit / type
      Previous value: -"number"New value: +"integer"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": false,
      +  "properties": {
      +    "data": {
      +      "description": "The tool payload. Null when the call did not produce one — read meta.availability_status to find out why, and do not treat null as zero, empty or \"none found\"."
      +    },
      +    "meta": {
      +      "additionalProperties": true,
      +      "properties": {
      +        "availability_status": {
      +          "description": "ok: complete payload. truncated: payload exceeded the transport cap and was cut. parse_failed: payload is text this server could not parse as JSON. error: the tool raised.",
      +          "enum": [
      +            "ok",
      +            "truncated",
      +            "parse_failed",
      +            "error"
      +          ],
      +          "type": "string"
      +        },
      +        "encoding": {
      +          "description": "toon = pipe-delimited tabular encoding; header row names the columns.",
      +          "enum": [
      +            "json",
      +            "toon"
      +          ],
      +          "type": "string"
      +        },
      +        "provenance": {
      +          "description": "Whether the figures can cite a source document. \"undeclared\" means no claim has been made for this endpoint yet — it is not a claim that the data is unsourced.",
      +          "enum": [
      +            "direct",
      +            "label",
      +            "reachable",
      +            "none",
      +            "undeclared"
      +          ],
      +          "type": "string"
      +        },
      +        "retrieved_at": {
      +          "description": "When this platform produced the answer — NOT the as-at date of the data.",
      +          "format": "date-time",
      +          "type": "string"
      +        },
      +        "warnings": {
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        }
      +      },
      +      "required": [
      +        "retrieved_at",
      +        "availability_status",
      +        "provenance"
      +      ],
      +      "type": "object"
      +    },
      +    "schema_version": {
      +      "description": "Envelope contract version. Bumps only on a breaking shape change.",
      +      "type": "string"
      +    },
      +    "tool": {
      +      "description": "Tool that produced this result.",
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "schema_version",
      +    "tool",
      +    "data",
      +    "meta"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare it read-only, idempotent, and non-destructive, so the safety profile is covered. The description adds meaningful behavioral context beyond that — notably the composite_signal concept (multi-signal patterns like insider selling + earnings miss) that explains what the feed surfaces. It omits pagination/rate-limit behavior, but with annotations and an output schema the gap is minor.

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

Conciseness4/5

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

Front-loads the core purpose in the first clause and the 13-type enumeration is genuinely useful for matching agent queries. The long type list and example-question run are somewhat dense but each element earns its place by expanding retrieval coverage.

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?

With annotations, full schema coverage, and an output schema present, the description is complete enough to call the tool correctly and understand what it returns. The main missing piece is guidance on when to choose this unified feed versus single-domain siblings, which is a usage-guideline gap rather than a completeness failure.

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 schema fully documents all six parameters including defaults and example values. The description's example questions loosely map to the 'days' parameter but add no syntax or format detail beyond the schema. Baseline 3 is appropriate.

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 ('Get the Market Intelligence Feed') and defines it as 'a unified stream of all NZX market events', then enumerates the 13 signal types it aggregates. This clearly distinguishes it from single-domain siblings like get_insider_trades, get_technical_signals, or get_credit_ratings.

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?

Provides concrete example questions ('what happened on the NZX today/this week?', 'any recent insider trades?', 'market activity for AIR') that anchor when to use it. However, it never names alternatives or states when to prefer a narrower sibling tool over this unified feed, leaving that inference to the agent.

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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