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Glama

unfollow_watchlist

Destructive

Stop following a public Stock Tracker. It disappears from your stock tracker page and you stop receiving its updates. Your own Stock Trackers are unaffected.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
watchlist_slugYesSlug or name of the Stock Tracker you're following. get_my_watchlists lists them.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already mark this as destructive and not read-only. The description adds valuable context: the tracker 'disappears from your stock tracker page' and you 'stop receiving its updates,' plus the safety note that your own trackers are unaffected. This goes beyond the annotation flags.

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 two clear sentences, front-loaded with the main verb and resource. Each sentence adds relevant information without any fluff.

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 one-parameter destructive tool with no output schema, the description is complete: it states the action, the consequence, and the boundary (own trackers unaffected). It does not need to explain return values.

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 describes the single parameter `watchlist_slug` and even tells the user where to find it. The description adds no additional parameter-specific meaning beyond reinforcing that it refers to a public tracker.

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 the action with a specific verb and resource: 'Stop following a public Stock Tracker.' It also distinguishes from sibling tools by clarifying that it affects only followed public trackers, not the user's own trackers.

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?

The description clearly implies when to use this tool: when you want to stop following a public tracker. It provides a clear boundary with 'Your own Stock Trackers are unaffected,' but it does not explicitly name alternative tools for handling your own trackers.

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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Add one secure layer between your agents and this server.

TDQS

A3.9/5.0
Disambiguation4/5

With 57 tools, most have distinct purposes (market data, journaling, watchlists). A few related tools (get_price_alignment vs get_crypto_price_alignment, get_market_pulse vs get_market_movers) could cause miselection, but descriptions clarify asset types and scope.

Naming Consistency4/5

Tools predominantly use get_/list_/create_/update_/delete_ verbs with clear noun suffixes. Minor deviations like start_here, whoami, add_to_watchlist, and remove_from_watchlist break the pure verb_noun pattern, but the style is consistent and readable.

Tool Count1/5

At 57 tools, the server is far beyond the well-scoped range. While the domain is broad, this many tools will overwhelm an agent's capability to select accurately, and many could be consolidated (e.g., separate financial statements).

Completeness5/5

The server covers watchlist CRUD, trading journaling, market data (fundamentals, statements, news, transcripts), analysis tools, and community features. No obvious dead ends; lifecycle coverage is thorough for the described domain.

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