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

With no annotations, the description carries the full behavioral burden well. It discloses that compilation happens via MetaEditor CLI, that structured errors/warnings are parsed from the compile log, that success requires both zero parsed errors and a freshly-written .ex5, and that the process exit code is deliberately ignored.

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 compact sentences, front-loaded with the action and return value, followed by the critical success-condition caveat. Every sentence 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?

Despite no annotations and no output schema, the description explains the return values and the non-obvious success criteria. It remains incomplete only around the two optional, undocumented parameters (timeoutMs and includePath).

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 only 33%, so the description needs to compensate for undocumented parameters, but it does not mention timeoutMs or includePath at all. It adds no parameter semantics beyond what the schema already provides for path.

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 (compiles), the exact resource types (.mq5/.mqh/.mqproj), the mechanism (MetaEditor CLI), and the return shape (structured errors/warnings plus .ex5 path). It is clearly distinguishable from the file-operation and backtest siblings.

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 the tool is for compiling MQL5 source files but gives no explicit when-to-use, when-not-to-use, or alternative-tool guidance. The file-type scope provides some context, but selection guidance is mostly inferred.

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 the full behavioral burden. It does disclose the destructive nature of the operation and the sandboxed scope, which are useful constraints, but it omits irreversibility, behavior when the path does not exist, and any permission or error semantics.

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 with no padding or redundancy. It is efficient, though its brevity is partly under-specification rather than genuine discipline.

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 destructive, unannotated tool with no output schema and an undocumented path parameter, the description is too thin: it should cover path format, failure behavior for missing files, and confirm the deletion is irreversible. Only the scope constraint is provided.

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 0% for the single 'path' parameter, so the description must compensate and does not. It never states whether 'path' is relative to the sandbox root or absolute, nor what path syntax is accepted.

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 and resource ('deletes a single file') and immediately scopes it with two constraints: the target must be a file, not a directory, and it lives under the sandboxed MQL5 data folder. Among siblings named list_files, read_file, write_file, compile, etc., a delete operation is unambiguously 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?

Usage is only implied by the name and the 'single file (not a directory)' qualifier; there is no explicit statement of when to use this versus write_file or how to recover from a wrong deletion. No alternatives or prerequisites are named, so an agent must infer the context.

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 the full burden and does well: it discloses idempotent-like re-resolution behavior, required call ordering, and the failure states ('ambiguous', 'error') an agent will encounter. It stops short of stating that the operation has no side effects or what a successful resolution returns.

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 tight sentences, no filler, and the primary action ('call this first') is front-loaded ahead of the conditional retry case.

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?

No output schema exists, so the description should ideally hint at return states; it does by naming 'ambiguous' and 'error' outcomes, which is useful. It omits what a successful resolution returns (the resolved install/data paths), a minor remaining gap for a resolution 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% and the schema already documents the installDirHint format, so the baseline is 3. The description adds genuine value beyond the schema by explaining why and when to pass it (to disambiguate a failed resolution), which the schema description does not convey.

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 ('resolves/re-resolves') and a precise resource ('MetaEditor/MetaTrader 5 installation and its MQL5 data folder'). This is unambiguous and clearly distinct from every sibling, which are all file/compile/execution operations.

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?

Gives explicit ordering guidance ('Call this first') and an explicit re-invocation condition ('again if you get an ambiguous or error result'). The triggering states are named, so an agent knows exactly when to invoke and re-invoke with no inference required.

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 disclosure burden. It usefully reveals that a missing date defaults to the most recent log, but says nothing about failure modes (no log for date), permissions, or log size/volume concerns.

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 with no waste; the resource and its default behavior are stated immediately.

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 two-parameter read tool with no output schema and no annotations, the description covers the primary path but leaves tailLines entirely unexplained and gives no hint about what the log output looks like or how it fails.

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 50%: the schema documents the date format (YYYYMMDD) and default, while tailLines is undocumented in both schema and description. The description restates the date default but adds nothing about tailLines or the parameter's truncation behavior.

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 verb ("Reads") and a specific resource ("the terminal's MQL5 journal log"), which cleanly separates it from the generic file tools in the sibling list. It stops short of explicitly contrasting itself with read_file/list_files, so an agent must infer the distinction.

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 guidance on when to prefer this over read_file/list_files, nor any exclusions or prerequisites. The only usage signal is the incidental "defaults to the latest," which falls short of actual when-to-use guidance.

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 the full burden. It usefully discloses the sandboxed/restricted scope and the enumerated allowed folders, but says nothing about recursion defaults, pagination, ordering, or what the listing actually returns. Sandbox context is real added value, but key behavioral traits are absent.

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 tightly written sentences with the scope constraint front-loaded and the parameter hint second; every clause earns its place and nothing is redundant.

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 simple two-parameter read tool it covers purpose and scope adequately, but with no annotations and no output schema the description should at least explain the recursive flag and the shape of the result. Those gaps leave the agent guessing on a non-trivial option.

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 50%: 'dir' is documented in both places, while 'recursive' has no description in either the schema or the tool description. The description reinforces the dir semantics (relative path, omit for top level) and names the folder set, but leaves recursive unexplained.

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 (Lists) and resource (files/directories) and names the exact sandboxed scope (the MQL5 data folder) plus its allowed subfolders. An agent can distinguish this from read_file, write_file, and delete_file without opening any schema.

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?

Gives one actionable hint ('Omit dir to see the top-level allowed folders'), which is usage guidance for a parameter rather than for the tool as a whole. No alternatives or when-not conditions are named, and none are obvious among the siblings, so this is implied usage rather than explicit guidance.

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 provided, the description carries the full behavioral burden. It usefully discloses that the scope is sandboxed and text-only, but it omits permissions, error behavior, encoding, size limits, and whether the operation is strictly read-only, leaving key operational traits unstated.

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 definition is a single front-loaded sentence with no wasted words. The scope constraint and examples are included immediately, making it easy for an agent to parse.

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 simple one-parameter read tool, the schema fully documents the path and the description supplies the sandbox scope and file-type context. The only minor gap is that it does not explicitly describe the return value, though 'Reads a text file' strongly implies file contents.

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 the path parameter already has an example. The description still adds meaning by clarifying that the file must live under the sandboxed MQL5 data folder and by naming expected source-file extensions (.mq5/.mqh), which goes beyond the schema's bare example string.

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 gives a specific verb ('Reads'), a resource ('text file'), an examples list (.mq5/.mqh), and a clear scope ('sandboxed MQL5 data folder'). This is sufficient to distinguish it from sibling tools such as write_file, delete_file, and list_files without opening a schema.

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 sandboxed MQL5 data folder context implies when the tool is appropriate for reading source files, but there is no explicit guidance on when to use it versus list_files for discovery or write_file for modification. No exclusions or prerequisites are stated.

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 the full burden and does well on safety-critical behavior: it explicitly says no live connection and no real orders, and it explains that the Strategy Tester refuses to start without an account login. It does not disclose whether the test mutates terminal state or the meaning of timeoutMs, leaving some behavioral gaps.

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?

Front-loads what the tool does and follows with prerequisites and the login resolution chain, with no filler sentences. The login paragraph is dense but each detail (fallback order) is actionable rather than redundant.

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 12-parameter tool with no output schema and no annotations, the description is reasonably complete on purpose and preconditions but leaves several input capabilities unexplained and only vaguely states it 'returns parsed performance metrics' without indicating which metrics. Adequate but with clear gaps for a tool of this 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 description coverage is only 50%, so the description must compensate and largely does for login: it details the full resolution order (argument, MCP_MT5_LOGIN, then the account saved in common.ini) beyond the schema's terse fallback note. However, it adds nothing for model, deposit, currency, leverage, and executionMode, which remain undocumented.

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 and resource (runs a compiled EA through MT5's Strategy Tester) and immediately bounds the scope as a closed historical simulation with no live connection and no real orders. This cleanly separates it from siblings like compile and get_journal.

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?

Gives a concrete prerequisite and routes the agent to the needed alternative: 'Requires the EA to already be compiled (call compile first).' It also flags the account-login requirement, but does not describe when this tool is a poor choice versus other tools beyond the compile dependency.

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 the full behavioral burden. It usefully discloses the sandboxed data-folder scope and the allowed file types, but omits critical behavior: what happens if the target exists and overwrite is not set (error vs silent no-op), and whether createDirs is needed for missing parent folders.

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 tightly written sentence with the scope constraint front-loaded and the example inline; every clause earns its place with no 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?

For a mutation tool with no annotations and no output schema, the description is only partially complete. It should state the default behavior when overwriting an existing file without the flag and whether directories are auto-created, which are the main risks an agent would hit.

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 0% across 4 parameters, so the description must compensate. It covers path (with an example) and the semantics of overwrite, but says nothing about content or createDirs, leaving two of four parameters undefined anywhere.

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 (creates/overwrites) and a precise resource (a .mq5/.mqh/.mqproj/.set file under the sandboxed MQL5 data folder), with a concrete example. This clearly distinguishes it from the sibling read/list/delete file tools.

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?

It gives a conditional for replacing an existing file (overwrite:true), which is the key usage decision, but never states when to use this versus delete_file or read_file, nor any exclusions or prerequisites. Usage is implied rather than spelled out.

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