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Glama

TickerDB

by com.tickerdb

add_to_watchlist

Idempotent

Add tickers to the user's saved watchlist. Duplicates are skipped. Only call this when the user explicitly asks to track, save, or watch a ticker; do not add tickers just because they came up in conversation. The watchlist is capped by the plan's watchlist_limit (see get_account), so the request can be rejected or accepted only in part. Report back which tickers the response actually confirms rather than assuming every requested ticker was added.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickersYesArray of ticker symbols to add, e.g. ["AAPL", "MSFT", "BTCUSD"]

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoThe TickerDB API response payload for this tool call.

TDQS

A4.7/5.0
Behavior5/5

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

The description discloses duplicate skipping (consistent with idempotentHint), the plan's watchlist_limit causing partial rejection, and advises verifying the response's confirmed tickers. No contradiction with annotations; it adds context beyond the structured hints.

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 concise and front-loaded, with each sentence adding unique value: purpose, duplicate handling, usage trigger, limit caveat, and response verification. No filler or redundant repetition.

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?

For a single-parameter tool with an output schema, the description covers usage conditions, edge cases (duplicates, limit), and expected response handling. It also references get_account for the watchlist limit, making it fully actionable for an agent.

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?

The schema already fully documents the single 'tickers' parameter with an example, so the parameter semantics are well covered. The description adds behavioral context about duplicates and limits but does not introduce new meaning about the parameter itself, so 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?

The description clearly states 'Add tickers to the user's saved watchlist' with a specific verb and resource, distinguishing it from siblings like remove_from_watchlist and get_watchlist. It also specifies duplicate behavior, adding further clarity.

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 instructs when to call: only when the user explicitly asks to track, save, or watch a ticker, and warns against adding just because tickers came up in conversation. It also references get_account for the watchlist limit, showing awareness of alternative tools and prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All TickerDB toolsInspect
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TDQS

A4.4/5.0
Disambiguation5/5

Each tool has a clear, distinct purpose: add/remove watchlist manage saved tickers, get_watchlist analyzes all saved tickers, get_summary analyzes a single ticker, get_search finds assets by filters, get_ohlcv retrieves raw price data, get_schema discovers available fields, and get_account provides account limits. There is no meaningful overlap or ambiguity.

Naming Consistency4/5

Most tools follow a consistent 'get_' + noun pattern (get_account, get_ohlcv, get_schema, get_search, get_summary, get_watchlist). The watchlist mutation tools use 'add_to_watchlist' and 'remove_from_watchlist' instead of a simpler 'add_watchlist'/'remove_watchlist', which is a minor deviation but still predictable and logical.

Tool Count5/5

With 8 tools, this is a well-scoped set that covers market data retrieval, analysis, search, schema discovery, account management, and watchlist lifecycles. Each tool earns its place without unnecessary redundancy or bloat.

Completeness4/5

The tool set covers the core workflows: watchlist CRUD (add/remove/list), single-ticker analysis (get_summary), multi-ticker watchlist analysis (get_watchlist), raw historical data (get_ohlcv), search/discovery (get_search), field introspection (get_schema), and account management (get_account). Minor gaps include no batch historical data endpoint for multiple tickers and no update operation for watchlist entries, but these are not critical for the stated purpose.

Resources