OwlX Trading Intelligence

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

No annotations exist, so the description fully bears the burden. It discloses the multi-gate filtering process, output types (grades, play types, Cat-Hunter read), and that it requires a key. It does not cover rate limits or auth details but provides sufficient transparency for an analysis tool.

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

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

The description is concise with two sentences that front-load the purpose. It contains no redundant information, though the acronyms could be explained for clarity.

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

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

For a tool with one parameter and no output schema, the description covers the core functionality, inputs, and requirements adequately. It does not detail the 'Cat-Hunter read' but that is likely domain-specific. Overall, it feels complete for the given complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a clear description for the single parameter 'symbol'. The description adds minimal extra context (that it's a base symbol for memes/altcoins), which is consistent with the schema. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: a 5-gate pre-filter for meme/altcoins providing conviction grades, play types, and a Cat-Hunter read. It distinguishes itself from sibling tools like owlx_memestats by focusing on analysis and filtering rather than statistics or profiles.

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

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

The description mentions a prerequisite (OwlX Pro key) and a disclaimer (educational, not financial advice). It hints at an alternative (owlx_memestats for hit-rate), but does not explicitly state when to use or avoid this tool versus siblings.

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

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

Without annotations, the description transparently describes the methodology: signals are logged, graded against actual prices, and both wins and losses are included with no cherry-picking. This fully discloses the tool's behavior.

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

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

Single sentence front-loads the key purpose and provides essential details (free, grading windows, honesty policy). No wasted words.

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

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

Given zero parameters and no output schema, the description fully explains what the tool does and its methodology, making it complete for an agent to understand.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, so schema coverage is trivially 100%. Baseline is 4. Description adds no parameter info because none is needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description explicitly states the tool provides 'real recorded hit-rate' of signals, graded against actual prices 4h/24h later, including wins and losses. It clearly distinguishes from sibling tools like 'owlx_mememesniper' by focusing on performance stats.

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

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

Description implies usage for checking signal performance but lacks explicit 'when to use' or 'when not to use' guidance relative to alternatives. However, context from sibling tools makes it reasonably clear.

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

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

With no annotations, the description carries full burden. It mentions the data source (Finnhub, TTM) and educational intent, and states it's free. However, it does not disclose whether it is read-only, any rate limits, or authentication needs.

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

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

Two sentences, front-loaded with the tool's purpose and key metrics. Every word adds value.

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

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

Given no output schema, the description compensates by listing many returned metrics (P/E, P/S, EPS, etc.). It is sufficient for a simple snapshot tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a single 'symbol' parameter described. The description adds context (ticker examples) but does not significantly expand on the schema's meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it provides a 'US stock snapshot' with specific financial metrics (P/E, P/S, EPS, etc.). It distinguishes itself from sibling tools (owlx_memesniper, owlx_memestats, etc.) which deal with memes and other data.

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

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

The description implies use for US stock quotes and metrics, noting it's free and educational. It does not explicitly state when not to use or list alternatives, but the context makes it clear.

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

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

Disclaims educational nature and mentions authorization needs. However, with no annotations, the description misses explicit statement of read-only behavior or safety profile. Adequate but not comprehensive.

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

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

Description is three sentences, front-loaded with main purpose. Each sentence adds value (purpose, auth disclaimer, educational note). No wasted words.

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

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

Given no output schema, description explains return values (score, direction, levels). Covers auth constraints and use case. Could mention timeframe parameter but schema covers that.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so parameters are already described. Description adds no extra semantic meaning for the parameters beyond what's in the schema. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states verb ('read') and resource ('OwlX structure-score of a crypto symbol') and lists specific outputs (score, direction, levels). Does not explicitly differentiate from siblings, but the name and context make it distinct.

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

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

Provides explicit guidance on free usage for BTC/ETH and requirement of OwlX Pro key for other symbols. Does not cover when not to use this tool vs alternatives, but siblings are sufficiently different.

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

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

No annotations are provided, so the description carries the full burden. It discloses the data returned (TVL, fees, revenue, 30d + annualized) and how different asset types are treated honestly (e.g., meme assets get 'no on-chain revenue'). This is good transparency, though it lacks details on data freshness or pagination.

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

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

The description is two sentences, front-loaded with the core purpose, and every sentence adds value. No redundancy or fluff.

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

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

Given the simple single-parameter input and no output schema, the description is fairly complete. It explains what data is returned and the nuance for different token types. Minor improvement: could hint at the return format (JSON).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the single parameter 'symbol', and the schema already provides examples. The description does not add additional meaning beyond the schema, which is adequate for a simple required parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it provides token financial statements with specific data (TVL, fees, revenue) and differentiates between protocol assets, L1s, and meme assets. It is specific, uses a verb+resource structure, and distinguishes itself from sibling tools like owlx_stock_profile.

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

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

While not explicitly stating when to use versus alternatives, the description 'Token financial statement' and the sibling list (owlx_memesniper, owlx_stock_profile, etc.) provide clear contextual cues. For full marks, an explicit alternative comparison would be needed.

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