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CeylonCharts - Colombo Stocks Exchange (CSE) data for AI Agents

Get company announcements

get_announcements
Read-onlyIdempotent

Get general CSE company disclosures for a symbol — board changes, AGM/EGM notices, listings, trading suspensions/resumptions, name changes, and other regulatory announcements. For dividends, rights issues, or share splits specifically, use get_corporate_actions instead — it has the parsed, structured detail (amounts, ratios, ex-dates) that this tool's raw announcement text does not. Returns CSV (date,type,description,pdf_url), or JSON candidates if the input is ambiguous.

Input Schema

NameRequiredDescriptionDefault
toNoEnd of the date range to filter by. Defaults to today when omitted.
fromNoStart of the date range to filter by. Defaults to 1 year before `to`, or 1 year before today if neither bound is given.
symbolYesA CSE ticker or the company name (e.g. "SAMP" or "Sampath Bank"). Typos are tolerated. If the input is ambiguous, the response returns candidates instead of data; ask the user to pick one and call again with the exact symbol.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / from / description
      Previous value: -"Start date in YYYY-MM-DD format. Defaults to 1 year before `to` or today."New value: +"Start of the date range to filter by. Defaults to 1 year before `to`, or 1 year before today if neither bound is given."
    • changedInput schema / properties / to / description
      Previous value: -"End date in YYYY-MM-DD format. Defaults to today when omitted."New value: +"End of the date range to filter by. Defaults to today when omitted."
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so safety is covered. The description adds genuinely new behavioral facts: the CSV column shape (date,type,description,pdf_url) and the fallback to JSON candidate lists on ambiguous input. It does not mention pagination or result caps, but that is a minor gap.

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?

Three sentences, front-loaded with purpose, then the exclusion/alternative, then the return shape. Every clause carries routing or format information; no 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?

No output schema exists, and the description compensates by naming the return format and its columns plus the ambiguity fallback. Combined with fully documented parameters and safety annotations, an agent has everything needed to call this correctly.

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 coverage is 100% and the schema already documents symbol typo tolerance, the candidate fallback, and the from/to defaulting rules. The description's mention of 'for a symbol' and the ambiguity behavior largely restates the schema, so the baseline 3 is correct.

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+resource ('Get general CSE company disclosures for a symbol') and enumerates the covered disclosure types (board changes, AGM/EGM notices, listings, suspensions, name changes). It also names the sibling it is not (get_corporate_actions), so an agent can discriminate without opening either 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?

Explicitly routes dividends, rights issues, and share splits to get_corporate_actions and gives the reason (parsed structured detail vs raw text). It also tells the agent what to do when the symbol is ambiguous: surface candidates, ask the user, re-call.

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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