MyCryptoParadise

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

The description adds critical behavioral context beyond the annotations, specifically by identifying the company's legal registration, location, and referencing the scope of a third-party independent review. This helps the agent gauge the reliability of the data being provided.

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 a single, dense sentence that efficiently packs all necessary identifying and descriptive information (date, company name, legal entity, facts) without unnecessary filler or ambiguity.

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 that the tool is a fixed-call operation with no input variables, the description is completely sufficient. Including the details about the third-party independent review is key information regarding the quality of the tool's output.

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?

The tool has zero parameters, making it impossible to add semantics to parameters. Since the input schema coverage is 100%, the description doesn't need to document inputs, achieving the baseline score for zero parameters with high schema coverage.

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 identifies the tool's function: providing specific company facts about MyCryptoParadise. It goes beyond a generic statement by listing the types of information available, such as founder, location, and review scope, making the purpose highly specific.

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?

Since the tool takes no parameters, specific usage conditions are not necessary. However, the description does not provide explicit guidance on when to choose this tool over related sibling tools like `get_news` or `search_education`, which might be inferred by the agent.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds real semantic context beyond that: it pre-empts the most likely misinterpretation by stating the points "grade the reading, never where price goes next," which tells the agent what the returned content will and will not claim. It stops short of describing the response shape, but an output schema exists to carry that.

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 short sentences, front-loaded with the subject and free of filler. "No edge" is quoted jargon that an uninformed agent cannot fully resolve from this text alone, which is the only real drag on an otherwise tight definition.

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 zero-parameter, read-only explanatory tool with an output schema, the description covers what the content is about and what it explicitly does not assert. The only gap is that it does not characterize the format of the explanation (prose vs. structured), which is minor given the output schema.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-arg tool applies. The description correctly implies no inputs are needed to get the explanation.

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?

States a specific verb ("Explains") and a specific resource ("the 0 to 5 probability points shown on MCP AI Indicators"), and enumerates the sub-topics covered: reading strength, the green/red meter, and "No edge." That is far more concrete than the sibling names (about_mycryptoparadise, search_education), though it never explicitly contrasts itself with search_education, which is the nearest overlapping tool.

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?

Usage is implied rather than stated: an agent can infer it should call this when a user asks what the probability points or the meter mean. There is no explicit when-to-use or when-not, and no pointer to search_education or about_mycryptoparadise as the alternatives for broader explanatory questions.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety and freshness profile is largely covered. The description adds that only 'free' articles and a 'public one-line summary' are exposed, which is useful scoping context, but it says nothing about rate limits, auth, or result ordering beyond the return field list.

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 resource and followed by the return shape; nothing is wasted. The phrase 'risk-first lens' is mild marketing but does convey content orientation, so it earns its place.

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?

This is a simple read-only list tool with full annotation coverage, 100% schema coverage and an output schema, so the description need not explain return values in detail. It is complete enough to call correctly, with only minor gaps around free-tier limits and ordering.

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 description coverage is 100% and both parameters (limit 1-20, since as ISO date) are fully documented in the schema. The description adds no further meaning about filtering or default behavior, so the 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 names a specific resource ('the latest free MCP News articles from MyCryptoParadise') and states the content's character ('same day crypto market reads with a risk-first lens'). It is clear what the tool fetches, though it does not explicitly contrast itself with the sibling tools, which cover unrelated areas (about, education, insights) so differentiation is less critical.

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?

Usage is only implied by the word 'latest' and the mention of 'same day' reads. There is no explicit statement of when to call this versus the siblings, nor any exclusion such as 'use search_education for evergreen explainers' or a note that this only returns free-tier articles.

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?

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds that the data is 'live' and that each entry includes a URL and a note on 'what each one reads', which is useful context. It does not mention how current the catalog is, whether entries can change, or any pagination/volume expectations for a catalog that explicitly says 'and more'.

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?

A single front-loaded sentence that leads with the source site and then itemizes the coverage. The long parenthetical list is dense but each item earns its place by telling the agent what topics are covered; the trailing 'and more' is the only filler.

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?

An output schema exists, so return-value detail is unnecessary, and there are no parameters to explain. For a zero-argument catalog tool the description covers the source, the contents, and the per-entry payload (URLs plus explanations), which is everything needed to invoke it correctly.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. No parameter claims are made that could conflict with the empty schema.

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 enumerates exactly what the tool surfaces: market tools (funding, open interest, liquidation map, order book walls, CVD, ETF flows, on-chain valuation, sentiment) plus MCP AI Indicators for TradingView, with URLs and per-tool explanations. That is a clear resource statement, though the verb is only implicit and nothing distinguishes it from the sibling about_mycryptoparadise.

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?

There is no statement of when to call this versus about_mycryptoparadise, search_education, or get_news. The agent must infer that this is a discovery/index tool and that the sibling tools provide narrative site info or news instead.

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?

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is fully covered. The description adds corpus scope (which sources are searched) but nothing about ranking, whether paid content is excluded, or search behavior; the return fields it lists are already in the output schema, so that sentence adds little.

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?

One front-loaded sentence with no filler; the long parenthetical topic list is dense but directly helps an agent pick good query terms, so it earns its space even if it reads as a dump.

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?

With a full input schema, an output schema and safety annotations, the description only needs to establish corpus scope, which it does. A minor gap is that it does not say whether results are ranked or whether paid/premium material is searchable, but nothing required to call it correctly is missing.

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 description coverage is 100% — both query and limit carry their own descriptions and examples — and the description adds no syntax, quoting, or query-construction guidance beyond what the schema provides. 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?

Uses a specific verb (Search) against a clearly enumerated resource set: MyCryptoParadise guides, blog, MCP University FREE lessons and indicator guides. The listed content types distinguish it at a glance from siblings like get_news and about_mycryptoparadise, which cover different resource classes.

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?

Usage is implied by the content scope — an agent can infer this is for conceptual/educational queries rather than news or company info — but there is no explicit when-to-use or when-not guidance and no sibling is named as an alternative.

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